rag.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json \n",
    "from dotenv import load_dotenv\n",
    "import os\n",
    "import requests\n",
    "load_dotenv(\"source.env\")\n",
    "api_key = os.getenv(\"api_key\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "url = \"https://jsearch.p.rapidapi.com/search\"\n",
    "\n",
    "querystring = {\"query\":\"AI Engineer\",\"page\":\"1\",\"num_pages\":\"15\"}\n",
    "\n",
    "headers = {\n",
    "    \"X-RapidAPI-Key\": api_key,\n",
    "    \"X-RapidAPI-Host\": \"jsearch.p.rapidapi.com\"\n",
    "}\n",
    "\n",
    "\n",
    "fetched_data = []\n",
    "\n",
    "response = requests.get(url, headers=headers, params=querystring, timeout=10)\n",
    "data = response.json()\n",
    "\n",
    "with open('ai_engineering.json', 'w') as f:\n",
    "    json.dump(data, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from jsoncomponent import JsonToDocument"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Converting JSON files to Documents: 100%|██████████| 1/1 [00:00<00:00, 44.51it/s]\n"
     ]
    }
   ],
   "source": [
    "converter = JsonToDocument(flatten_field='data', one_doc_per_row=True)\n",
    "results = converter.run(sources=[\"ai_engineering.json\"])\n",
    "documents = results[\"documents\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Center 3 (19075), United States of America, McLean, Virginia\n",
      "\n",
      "Senior Engineer - Generative AI Product Engineering\n",
      "\n",
      "Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.\n",
      "\n",
      "We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include:\n",
      "• Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.\n",
      "• Design APIs for performance, real-time applications, scale, ease of use and governance automation.\n",
      "• Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience.\n",
      "• Enable our users to build new GenAI capabilities.\n",
      "• Develop tools and processes to monitor API access patterns and operational health.\n",
      "• Design and implement AI safety and guardrails in the API layer working closely with researchers.\n",
      "\n",
      "Basic Qualifications:\n",
      "• Bachelor’s degree in Computer Science, Computer Engineering or a technical field\n",
      "• At least 4 years of experience designing and building and deploying ML application platforms.\n",
      "• At least 4 years of experience programming with Python, Go, Scala, or Java\n",
      "• At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.\n",
      "• Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.\n",
      "• Experience at tech and product-driven companies/startups preferred.\n",
      "• Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.\n",
      "• Familiarity with deploying large neural network models in demanding production environments.\n",
      "• Have experience with API security, observability, cloud access control and privacy best practices.\n",
      "• Keen attention to following production standards and practices.\n",
      "• Passionate about ML optimizations and open source technologies.\n",
      "\n",
      "At this time, Capital One will not sponsor a new applicant for employment authorization for this position.\n",
      "\n",
      "The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.\n",
      "\n",
      "New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer\n",
      "\n",
      "San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer\n",
      "\n",
      "Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.\n",
      "\n",
      "This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n",
      "\n",
      "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.\n",
      "\n",
      "This role is expected to accept applications for a minimum of 5 business days.\n",
      "\n",
      "No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n",
      "\n",
      "If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.\n",
      "\n",
      "For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com\n",
      "\n",
      "Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.\n",
      "\n",
      "Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).\n",
      "-------------------------\n",
      "Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.\n",
      "\n",
      "Department Summary:\n",
      "\n",
      "The Advanced Capabilities Department (N162) within the Integrated All-Domain Effects Division (N160) in MITRE’s Air and Space Forces Center is seeking an Associate Artificial Intelligence Engineer seeking to begin their career by bringing innovative solutions to unique national challenges. The Advanced Capabilities Department focuses on developing and enabling capabilities to counter peer adversaries and enable the US to project power and operate within highly contested environments.\n",
      "\n",
      "Job Description:\n",
      "\n",
      "An Associate Artificial Intelligence Engineer may be expected to contribute to the following tasks:\n",
      "• Build, deploy, implement and/or modify machine intelligence applications, including digital agents (e.g., chatbots), pattern recognition applications, (e.g., image, text, speech recognition) and classification.\n",
      "• Develop machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.\n",
      "• Use a combination of dataflow programming or pre-trained algorithms from an existing AI framework (e.g., TensorFlow, Caffe, MXNet, Cognitive Toolkit, Torch) but may also develop own scripts and algorithms in C++, Go, Java, Python, or equivalent languages.\n",
      "• Apply deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.\n",
      "• Work with large scale computing frameworks, data analysis systems and modeling environments.\n",
      "• Adapt artificial intelligence, including machine learning, to areas such as virtual/augmented reality, robotics, command and control, decision support, planning and other areas.\n",
      "\n",
      "Basic Qualifications:\n",
      "• B.S. in Computer Science or similar degree, or enrollment with pending graduation (offer may be contingent on successful completion of B.S. degree).\n",
      "• Educational experience in Python, Java, MATLAB, R, OCaml, C, SQL, Ruby, and HTML.\n",
      "• Demonstrated proficiency in Artificial Intelligence field commensurate with an undergraduate degree.\n",
      "• Demonstrated contributions to educational research projects.\n",
      "• The ability to obtain and maintain a Secret clearance\n",
      "• This position requires a minimum of 4 days a week on-site\n",
      "\n",
      "Preferred Qualifications:\n",
      "• M.S. in Computer Science, Artificial Intelligence, Machine Learning, or related field.\n",
      "• Experience with AI platforms and frameworks such as TensorFlow, Caffe, MXNet, Cognitive Toolkit, Torch.\n",
      "• Proficiency in developing machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis.\n",
      "• Experience in applying deep learning technologies and working with large scale computing frameworks, data analysis systems, and modeling environments.\n",
      "• Experience in adapting AI, including machine learning, to areas such as virtual/augmented reality, robotics, command and control, decision support, planning, and other areas.\n",
      "\n",
      "This requisition requires the candidate to have a minimum of the following clearance(s):\n",
      "None\n",
      "\n",
      "This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):\n",
      "Secret\n",
      "\n",
      "Work Location Type:\n",
      "Onsite\n",
      "\n",
      "MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster and Pay Transparency.\n",
      "\n",
      "MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email recruitinghelp@mitre.org.\n",
      "\n",
      "Copyright © 2024, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.\n",
      "\n",
      "Benefits information may be found here\n",
      "-------------------------\n",
      "Chief AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "If you want to partake in shaping Capital One's AI capabilities, we require a Lead Generative AI Infrastructure Engineer to join our team. This role will involve several interventions, such as instituting extensive, distributed training clusters, mounting Large-Language Models (LLMs) on GPU instances to be deployed in real-time operations, and rendering active support for advanced AI research and development. The optimal candidate must establish a close collaboration with cloud and container infrastructure teams, including AI researchers, to realize essential functionalities.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• For efficient large-scale computations, it is crucial to deploy distributed training clusters in the public cloud with an optimized storage and networking stack.\n",
      "• Incorporate strategies that allow distributed systems to perform long-running training experiments even in the presence of failures. One effective strategy is to use load-balancing schedulers with a check-pointing library to enable the resumption of the job at a precise point after a node failure.\n",
      "• The purpose is to establish a robust framework that supports efficient, scalable, and cost-effective delivery of LLMs and Foundation Models in cloud environments.\n",
      "• Design a flexible and customizable environment for implementing search indexes and embeddings in vector databases to address the unique needs of individual users.\n",
      "• Collaborate with AI researchers and cloud and container infrastructure groups to develop and execute essential functionalities.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical field degree such as Computer Science or Computer Engineering is required for a Bachelor's program.\n",
      "• It is essential to have at least six years of experience designing and constructing distributed computing solutions for handling high volumes of data.\n",
      "• A minimum of six years of coding experience using Python, Go, Scala, or Java is required.\n",
      "• This job opening requires applicants to have one year or more of experience with High-Performance Computing (HPC), vector embedding, or semantic search technologies.\n",
      "• One must possess at least a year's worth of experience in constructing, scaling, and refining training or inferencing systems for deep neural networks.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• The eligibility criteria for this position requires candidates to have completed a graduate degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or an equivalent subject.\n",
      "• Skilled in advanced machine learning techniques, with hands-on experience in deploying large-scale deep neural networks and transformer models in production systems.\n",
      "• Keeping up with the latest advancements in AI requires mastery of machine learning frameworks, including TensorFlow, PyTorch, Lightning, or Mosaic ML.\n",
      "• Agility to adapt and perform effectively in an ambivalent and rapidly changing environment with competing demands and due dates.\n",
      "• Individuals who have worked in technology-driven companies and startups are preferred candidates.\n",
      "• Knowledgeable in deploying intricate neural networks in challenging production environments.\n",
      "• A seasoned expert in the realm of creating GPU clusters in the public cloud, particularly in the area of closely-integrated storage and networking functions.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Reward systems that are based on performance and include monetary incentives, such as cash bonuses and long-term incentives, are known as performance-based incentive compensation.\n",
      "• Supporting the complete wellness of individuals, through a range of benefits covering health, finances, and more.\n",
      "• One of the benefits of working at Capital One is the variety of career paths available for employees, allowing for personal and professional growth.\n",
      "• Creating a supportive and inclusive work environment that enables individuals to grow personally and professionally.\n",
      "\n",
      "About Company:\n",
      "\n",
      "Capital One is committed to creating trustworthy and reliable AI systems that incorporate human input to revolutionize and evolve banking services. Our mission is to incorporate machine learning and AI technology to design automated and intelligent customer services in real-time. Partner with us and help shape the future of banking service delivery for businesses and individuals.\n",
      "-------------------------\n",
      "Akkodis is seeking a Full-Time Mid-Sr Level Artificial Intelligence Software Engineer to join an amazing organization!\n",
      "\n",
      "This position is a full-time!\n",
      "\n",
      "Rate: 110-150k/year plus annual bonus\n",
      "\n",
      "Location - Remote (Candidates need to be located in either Iowa, Nebraska, Minnesota, Illinois, South Dakota)\n",
      "\n",
      "We are seeking a highly skilled AI Engineer with expertise in Microsoft .NET, Azure, and Artificial Intelligence technologies. The ideal candidate will play a key role in developing and implementing AI solutions that drive value for our clients. This is an exciting opportunity to work on cutting-edge projects and collaborate with a talented team of professionals.\n",
      "\n",
      "Responsibilities:\n",
      "• Design, develop, and deploy AI solutions using Microsoft .NET and Azure technologies.\n",
      "• Collaborate with cross-functional teams to understand client requirements and develop customized AI solutions.\n",
      "• Implement machine learning algorithms and models to solve complex business problems.\n",
      "• Optimize AI solutions for performance, scalability, and reliability.\n",
      "• Stay updated on the latest advancements in AI technologies and incorporate them into our solutions.\n",
      "\n",
      "Qualifications:\n",
      "• Bachelor's or Master's degree in Computer Science, Engineering, or related field.\n",
      "• Proven experience in developing AI solutions using Microsoft .NET and Azure.\n",
      "• Strong programming skills in languages such as C#, Python, or Java.\n",
      "• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.\n",
      "• Familiarity with AI services offered by Microsoft Azure, including Azure Machine Learning, Azure Cognitive Services, etc.\n",
      "• Knowledge of OpenAI or GitHub Copilot is a plus.\n",
      "• Excellent problem-solving skills and attention to detail.\n",
      "• Strong communication and collaboration skills.\n",
      "\n",
      "Benefits:\n",
      "• Competitive salary and benefits package.\n",
      "• Opportunity to work on innovative projects with cutting-edge technologies.\n",
      "• Career growth and development opportunities.\n",
      "• Dynamic and collaborative work environment.\n",
      "\n",
      "If you are interested in this role in the Artificial Intelligence Software Engineer role then please click APPLY NOW. For other opportunities available at Akkodis go to www.akkodis.com.\n",
      "\n",
      "If you have questions about the position, please contact Allyson.Kumbera@Akkodisgroup.com\n",
      "\n",
      "Equal Opportunity Employer/Veterans/Disabled\n",
      "\n",
      "Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client\n",
      "\n",
      "To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.modis.com/en-us/candidate-privacy/\n",
      "\n",
      "The Company will consider qualified applicants with arrest and conviction records.\n",
      "\n",
      "Pay Details: $110,000.00 to $150,000.00 per year\n",
      "\n",
      "Equal Opportunity Employer/Veterans/Disabled\n",
      "\n",
      "To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.modis.com/en-us/candidate-privacy\n",
      "\n",
      "The Company will consider qualified applicants with arrest and conviction records subject to federal contractor requirements and/or security clearance requirements.\n",
      "-------------------------\n",
      "Job Title - Machine Learning Engineer/AI Engineer\n",
      "\n",
      "Location - 100% Remote\n",
      "\n",
      "Duration - 6+ Months\n",
      "\n",
      "Job Description:\n",
      "\n",
      "We are looking for Machine Learning Engineer/AI Engineer for one of our direct banking/financial clients.\n",
      "\n",
      "Build, modernize and maintain the Client's AI/ML Platform & related frameworks / solutions.\n",
      "• Participate and contribute to architecture & design reviews.\n",
      "• Build/Deploy AI/ML platform in Azure with open-source applications (Argo, Seldon) and/or cloud/SaaS solutions (Azure ML, Databricks, Truera).\n",
      "• You will design, develop, test, deploy, and maintain distributed & GPU-enabled Machine Learning Pipelines using K8s/AKS based Argo Workflow Orchestration solutions, while collaborating with Data Scientists.\n",
      "• Enable/Support platform to do distributed data processing using Apache Spark and other distributed / scale technologies.\n",
      "• Build ETL pipelines, ingress / egress methodologies in context to AIML use-cases.\n",
      "• Build highly scalable backend REST APIs for metadata management and other misc. business needs.\n",
      "• Deploy Application in Azure Kubernetes Service using GitLab CICD, Jenkins, Docker, Kubectl, Helm, Terraform and Manifest\n",
      "• Experience in branching, tagging, and maintaining the versions across different environments in GitLab.\n",
      "• Review code developed by other developers and provide feedback to ensure best practices (e.g., design patterns, accuracy, testability, efficiency etc.)\n",
      "• Work with relevant engineering, operations, business lines, and infrastructure groups to ensure effective architectures and designs and communicate findings clearly to technical and non-technical partners.\n",
      "• Perform functional, benchmark & performance testing and tuning to achieve performant AIML workflow(s), interactive notebook user experiences, and pipelines.\n",
      "• Assess, design & optimize the resources capacities for ML based resource (GPU) intensive workloads.\n",
      "• Communicate processes and results of the application with all parties involved in the product team, like engineers, product owner, scrum master and third-party vendors.\n",
      "\n",
      "What skills/technologies are required (please include the number of years of experience required)?\n",
      "• ML Platform / ML Engineering => 8 out of 10 experience\n",
      "• Platform Development / MicroServices / Arch => 7/10 experience\n",
      "• Docker/Containers/Kubernetes => 6/10 experience\n",
      "• Data Science / Machine Learning => 5/10 experience\n",
      "• Azure - Highly preferred to have the experience\n",
      "• Python - must have\n",
      "• 6 - 8 years of experience in software development and with data structures/algorithms\n",
      "• Good understanding of distributed system like Spark and Kafka - Good to Have => 5/10\n",
      "• Good understanding of security - TLS and RBAC\n",
      "• ML tools experience such as Argoworkflow/ AzureML /MLFlow/Databricks/etc. - Deployed & worked on some of these tools\n",
      "• AI tools experience such as Generative AI, ChatGPT, MetaGPT, LLM, Llama 2 etc. - Deployed & worked on some of these tools\n",
      "\n",
      "Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.\n",
      "\n",
      "Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit\n",
      "to learn more.\n",
      "\n",
      "Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.\n",
      "-------------------------\n",
      "Why Mayo Clinic\n",
      "\n",
      "Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.\n",
      "\n",
      "Responsibilities\n",
      "\n",
      "It is an exciting time at Mayo Clinic, as we are building the most trusted generative AI and LLM-based solutions to empower our staff, improve our practice, and transform healthcare. To accelerate our generative AI strategy, we are forming a cross functional team of technical experts. This team will be responsible for:\n",
      "• Providing temporary tiger-team efforts to accelerate key initiatives.\n",
      "• Expanding the organization’s understanding of LLM technology through:\n",
      "• Development of best practices, knowledge assets, and code examples to accelerate the efforts of others.\n",
      "• Execution of technical proofs of concept and exploration.\n",
      "• Providing consultations, presentations, and sharing of knowledge across Mayo Clinic to technical and non-technical audiences.\n",
      "\n",
      "The successful candidate should have experience in AI frameworks and machine learning models including training, experiment management, performance tuning, and production monitoring. Candidates must have interpersonal skills, including well-developed written and verbal communication, and collaborate well with both practice and technical resources. Preferred candidates will be well-versed in data science, familiar with state-of-art ML toolsets, and experienced in model build, testing, and automation of data pipelines. Knowledge of cloud technologies, high-performance computing, and job scheduling is beneficial.\n",
      "\n",
      "Roles and Responsibilities\n",
      "\n",
      "Build, test and maintain the infrastructure and tools to facilitate the consistent and automated AI software solution development and release process.\n",
      "\n",
      "Design, build and maintain the ML CI/CD pipeline that automates data collection, data analysis, experimentation, model training, model serving and monitoring in production. Achieve continuous delivery of AI software solution and updates to production at scale.\n",
      "\n",
      "Provide direction to more junior engineers.\n",
      "\n",
      "Collaborate with data scientists, engineers, product teams and other key stakeholders.\n",
      "\n",
      "Actively seek ways to improve software development and operation process.\n",
      "\n",
      "This position will accept applications until 4/4/2024. This deadline may be extended if the necessary candidate pool is not met by this date.\n",
      "\n",
      "Qualifications\n",
      "\n",
      "Bachelor’s degree in Computer Science or a related field with 7 years of experience. Or Master’s degree in Computer Science or a related field with 5 years of experience.\n",
      "\n",
      "Strong DevOps, Data Engineering and ML background. Familiar with best practices in the data engineering and MLOps community.\n",
      "\n",
      "Experience building and maintaining CI/CD pipelines. Demonstrated experience on a broad range of DevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc.\n",
      "\n",
      "Experience building, deploying and maintaining ML models in production. Experience with MLOps tools such as ModelDB, MLFlow and Kubeflow.\n",
      "\n",
      "Familiarity with python tools for data science.\n",
      "\n",
      "Experience with cloud infrastructure. Experience with Google Cloud Platform a plus.\n",
      "\n",
      "Excellent communication and teamwork skills.\n",
      "\n",
      "Ability to collaborate effectively with internal business stakeholders, outside partners and technology teams.\n",
      "\n",
      "The preferred qualifications for this position include:\n",
      "• Familiarity with AI frameworks such as TensorFlow and PyTorch\n",
      "• Desired experience with image processing or large language models\n",
      "• Desired experience with Google Cloud AI tools including Vertex AI\n",
      "\n",
      "Exemption Status\n",
      "\n",
      "Exempt\n",
      "\n",
      "Compensation Detail\n",
      "\n",
      "$128,502.40 - $186,264.00/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.\n",
      "\n",
      "Benefits Eligible\n",
      "\n",
      "Yes\n",
      "\n",
      "Schedule\n",
      "\n",
      "Full Time\n",
      "\n",
      "Hours/Pay Period\n",
      "\n",
      "80\n",
      "\n",
      "Schedule Details\n",
      "\n",
      "M-F daytime hours The employee must live within the United States\n",
      "\n",
      "Weekend Schedule\n",
      "\n",
      "NA\n",
      "\n",
      "International Assignment\n",
      "\n",
      "No\n",
      "\n",
      "Site Description\n",
      "\n",
      "Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.\n",
      "\n",
      "Affirmative Action and Equal Opportunity Employer\n",
      "\n",
      "As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.\n",
      "\n",
      "Recruiter\n",
      "\n",
      "Laura Percival\n",
      "-------------------------\n",
      "EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.\n",
      "\n",
      "​ AI/Machine Learning Engineer, Senior Consultant\n",
      "\n",
      "The opportunity\n",
      "\n",
      "Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.\n",
      "\n",
      "Your key responsibilities\n",
      "\n",
      "You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.\n",
      "\n",
      "You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.\n",
      "\n",
      "Skills and attributes for success\n",
      "\n",
      "This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.\n",
      "\n",
      "To qualify for the role you must have\n",
      "• Bachelor's degree and 3-6 years of full-time working experience in AI and/or Machine Learning\n",
      "• Strong skills in Python.\n",
      "• Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).\n",
      "• Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.\n",
      "• Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.\n",
      "• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.\n",
      "• Experience with MLOps methods and platforms such as MLFlow.\n",
      "• Experience with CI/CD and test-driven development.\n",
      "• Experience designing, building, and maintaining ML models, frameworks, and pipelines.\n",
      "• Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.\n",
      "• Understanding of data structures, data modelling and software engineering best practices.\n",
      "• Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.\n",
      "• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.\n",
      "• Experience with containerization and scaling models.\n",
      "• Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.\n",
      "• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.\n",
      "• Willingness to travel to meet client obligations.\n",
      "\n",
      "Ideally, you'll also have\n",
      "• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.\n",
      "• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.\n",
      "• Experience working with diverse teams to deliver complex solutions.\n",
      "• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.\n",
      "• Experience fine-tuning Generative AI models.\n",
      "\n",
      "What we look for\n",
      "• You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.\n",
      "• You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.\n",
      "• You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.\n",
      "\n",
      "FY24CH\n",
      "\n",
      "What we offer\n",
      "\n",
      "We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The salary range for this job in most geographic locations in the US is $100,100 to $183,500. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $120,100 to $208,500. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.\n",
      "• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.\n",
      "• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.\n",
      "• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.\n",
      "• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.\n",
      "\n",
      "If you can demonstrate that you meet the criteria above, please contact us as soon as possible.\n",
      "\n",
      "The exceptional EY experience. It’s yours to build.\n",
      "\n",
      "EY | Building a better working world\n",
      "\n",
      "EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.\n",
      "\n",
      "Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.\n",
      "\n",
      "Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.\n",
      "\n",
      "EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.\n",
      "\n",
      "EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com\n",
      "-------------------------\n",
      "At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.\n",
      "\n",
      "Are you a highly skilled and passionate engineer who thrives on solving complex problems? Do you have an interest in writing elegant code and a deep understanding of software architecture and ML/Gen-AI? If so, we have a great opportunity for you to join the Data Science & Analytics Team at Northwestern Mutual!\n",
      "\n",
      "At Northwestern Mutual, we provide real-time, highly available, and outstanding capabilities for our Field and Home Office users. Our team closely partners with our business functions, making our work crucial to the success of our organization. Additionally, our foundational Gen-AI team is driving and innovating on key business opportunities, driving growth and efficiency for our partners.\n",
      "\n",
      "As a Lead Full Stack Engineer, you will play a key role in developing, innovating and maintaining our key Gen-AI platforms and capabilities.\n",
      "\n",
      "Primary Duties and Responsibilities:\n",
      "• Design and implement robust, scalable, and high-performance software solutions that meet business requirements and align with industry leading standards.\n",
      "• Collaborate with multi-functional teams to gather requirements, define technical specifications, provide solutions to system-wide architectural problems while ensuring successful delivery through continuous improvement.\n",
      "• Write clean, efficient, and maintainable code, while adhering to coding standards and guidelines, ensuring consistency and efficiency in software development processes\n",
      "• Debug and solve sophisticated issues, ensuring the stability and reliability of our applications.\n",
      "• Take ownership of backlog items and actively contribute to the git repositories, driving the progress of projects and delivering high-quality code.\n",
      "• Demonstrate technical leadership to the team and multiplying their talent through positive mentorship, sharing knowledge and standard processes to foster their professional growth.\n",
      "• Implement integrated solutions using working relationships across the enterprise.\n",
      "• Design, prioritize, and implement high impact solutions across teams both within and outside their division.\n",
      "• Establish, aggregate, and share enterprise standards and practices.\n",
      "• Mentor and guide junior engineers within respective division.\n",
      "• Ensure production stability, monitoring, and root cause analysis is performed for their products.\n",
      "\n",
      "Qualifications\n",
      "• Bachelor's Degree or equivalent experience.\n",
      "• 6-8 years of professional experience required.\n",
      "• 5-8+ years of experience leading teams using modern engineering tools, languages, and practices.\n",
      "• Proven track record of successfully designing and delivering significant and impactful technology solutions.\n",
      "• Strong knowledge of front-end components and frameworks like React, NodeJS, Typescript, Next.js\n",
      "• Demonstrable experience with Python in both an application and data science context\n",
      "• Experience working with standard data science libraries and frameworks.\n",
      "• Experience or interest in developing AI-driven solutions, working with machine learning models, and familiarity with AI platforms, tools, and frameworks.\n",
      "• Database experience – including SQL, No-SQL, and Vector databases.\n",
      "• Experience with vector databases for tasks such as document retrieval and semantic search\n",
      "• Solid understanding of Linux (CentOS), terraform and AWS services such as Aurora, S3, SQS, MSK, Kinesis, and DynamoDB\n",
      "• Proficiency in developing cloud-based, dockerized applications and microservices\n",
      "• Experience developing and leading solution delivery using agile methods.\n",
      "• Expert for the organization in one or more technologies: [insert as applicable when posting].\n",
      "• Successfully deals with ambiguity.\n",
      "• Recognized as the go-to expert within the division or department.\n",
      "• Ability to effectively communicate to both technical and non-technical audiences in varying forms and levels of detail.\n",
      "• Solid understanding of design patterns and architecture.\n",
      "• Experience with Gen-AI is a plus.\n",
      "\n",
      "#LI-Hybrid\n",
      "\n",
      "Compensation Range:\n",
      "\n",
      "Pay Range - Start:\n",
      "\n",
      "$121,030.00\n",
      "\n",
      "Pay Range - End:\n",
      "\n",
      "$224,770.00\n",
      "\n",
      "Northwestern Mutual pays on a geographic-specific salary structure and placement in the salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity as well as the cost of labor in the market; and other conditions of employment. At Northwestern Mutual, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Please note that the salary range listed in the posting is the standard pay structure. Positions in certain locations (such as California) may provide an increase on the standard pay structure based on the location. Please click here for additiona l information relating to location-based pay structures.\n",
      "\n",
      "Grow your career with a best-in-class company that puts our client’s interests at the center of all we do. Get started now!\n",
      "\n",
      "We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.\n",
      "\n",
      "If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for information pertaining to compensation and benefits.\n",
      "-------------------------\n",
      "Are you looking for career move that will allow to take a strategic project zero to one? Then bring your experience in software engineering to Citi and seize the opportunity to explore AI and LLMs and their real-world applications at scale to improve productivity and drive operational efficiencies.\n",
      "\n",
      "We are seeking an innovative Full Stack Engineering Lead to join the Operations Engineering and Architecture group. This dedicated team is focused on driving Operations technology target state and delivering tangible reductions in process friction, errors, and manual effort. In this role you will be responsible for driving and contributing to the technical direction of our products and services, instilling engineering best practices into the team, and promoting cultural change across the organization. You will also work with Generative AI technologies, such as GPT-4, embedding their capabilities through prompt engineering in our systems.\n",
      "\n",
      "We are solely focused on the most modern technology and engineering disciplines such as generative AI, cloud, security, modern app stacks (with Golang, Gatekeeper), open source and the latest in the Kubernetes ecosystem.\n",
      "\n",
      "You will be joining us right at the beginning of our journey. We are seeking experienced software engineers who thrive in a results-driven environment, passionate about AI and LLM and who (just like us!) love programming.\n",
      "\n",
      "What you’ll do:\n",
      "• Contribute to both, engineering and research\n",
      "• Take a product-focused approach and build solutions that are robust, scalable, and easy to use\n",
      "• Work in a fast-paced environment tackling cutting-edge problems by constantly testing and learning\n",
      "• Pair programming for our products, be lean in your approach and remove bureaucracy where you see it\n",
      "• Deliver fast, iterating and pivot as you go, rather than defining the perfect solution upfront\n",
      "• Develop foundational components and mature technology capabilities in AI and LLMs\n",
      "• Drive adoption across the enterprise\n",
      "\n",
      "What we’ll need from you:\n",
      "• Deep hands on knowledge of Kubernetes, developing backend platforms and engineering solutions that scale\n",
      "• Fluency in at least two programming language, with preference for Python, Javascript/Typescript, Golang\n",
      "• Experience designing control and sandboxing systems for AI research\n",
      "• Pytorch, TensorFlow experience\n",
      "• Experience maintaining and/or contributing to bug bounty and responsible disclosure programs\n",
      "• Understanding of language models and transformers\n",
      "• Rich understanding of vector stores and search algorithms\n",
      "• Large-scale ETL development\n",
      "• Direct engineering experience of high performance, large-scale AI/ML systems\n",
      "• Have experience supporting fast-paced startup engineering teams\n",
      "• Have used LangChain and even contributed to the project.\n",
      "• As Generative AI is a relatively new and growing space, as a result, we ask that you share with us a specific AI engineering projects on LLMs that you’re proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM’s behavior.\n",
      "\n",
      "-------------------------------------------------\n",
      "\n",
      "Job Family Group:\n",
      "Technology\n",
      "\n",
      "-------------------------------------------------\n",
      "\n",
      "Job Family:\n",
      "Applications Development\n",
      "\n",
      "------------------------------------------------------\n",
      "\n",
      "Time Type:\n",
      "Full time\n",
      "\n",
      "------------------------------------------------------\n",
      "\n",
      "Primary Location:\n",
      "New York New York United States\n",
      "\n",
      "------------------------------------------------------\n",
      "\n",
      "Primary Location Salary Range:\n",
      "$142,320.00 - $213,480.00\n",
      "\n",
      "------------------------------------------------------\n",
      "\n",
      "Citi is an equal opportunity and affirmative action employer.\n",
      "\n",
      "Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n",
      "\n",
      "Citigroup Inc. and its subsidiaries (\"Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.\n",
      "\n",
      "View the \"EEO is the Law\" poster. View the EEO is the Law Supplement.\n",
      "\n",
      "View the EEO Policy Statement.\n",
      "\n",
      "View the Pay Transparency Posting\n",
      "-------------------------\n",
      "WHAT YOU DO AT AMD CHANGES EVERYTHING\n",
      "\n",
      "We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.\n",
      "\n",
      "AMD together we advance_\n",
      "\n",
      "Machine Learning Engineer, AI Solutions\n",
      "\n",
      "THE TEAM:\n",
      "\n",
      "In the ever-evolving landscape of artificial intelligence, we are a powerhouse – a cutting-edge 'AI Software Solutions team' poised to redefine the benchmarks of excellence. Specializing in a multifaceted approach, we stand at the forefront of AI optimization, meticulously fine-tuning algorithms to unlock unprecedented efficiency. Our expertise extends beyond the virtual realm, encompassing 3P enablement, where we seamlessly navigate the intricacies of Proof of Concept, Request for Proposal, and optimization strategies.\n",
      "\n",
      "Delving into the core of hardware capabilities, we embark on a journey of performance optimization, ensuring that every machine operates at its apex. With a focus on ML Perf inference, we transcend conventional boundaries, setting a new standard for real-time decision-making. As trailblazers in AI training improvement, we harness innovation to elevate the capabilities of machine learning models. Join us on this transformative journey as we navigate the frontiers of artificial intelligence, where every challenge is an opportunity, and every solution propels us into the future.\n",
      "\n",
      "THE ROLE:\n",
      "\n",
      "Would you like to be part of a world class team enabling Machine Learning applications for world class datacenters and the mightiest supercomputers? AMD is searching for talented and highly motivated Software Engineers to join our team of developers pushing the boundaries of efficiency and performance to enable and optimize the software ecosystem for the next generation of GPU computational accelerators. Our team has an unparalleled perspective of the AI landscape. We work with the industry’s most sophisticated clients to help them leverage the latest hardware capabilities for their AI use cases. As part of our team, you will be among the first in the world to combine the newest hardware with the industry’s latest ML applications, libraries, frameworks, and SDKs to push the limits of innovation and solve the world’s most complex challenges. \n",
      "\n",
      "THE PERSON:\n",
      "\n",
      "We are looking for a highly motivated and skilled Software Engineers to join our team. You will work with a team of Machine Learning engineers to enable AI models, libraries, and applications for Instinct GPUs in both on-prem and Cloud environments.  Candidates should have strong Python and C++ skills as well as experience with Machine/Deep Learning concepts.  Candidates should also have experience analyzing and optimizing the performance of software.  Must be self-motivated and possess the ability to work well within a team environment.\n",
      "\n",
      " \n",
      "\n",
      "KEY QUALIFICATIONS:\n",
      "• BS with several years of related experience or MS with years of related experience or PhD with years of related experience in Computer Science or Computer Engineering or related equivalent.\n",
      "• Strong programming skills in Python and C++\n",
      "• Experience with training and inference for large models, including in multi-GPU and multi-node training and inference.\n",
      "• Experience with open-source software development including collaboration with community maintainers and submitting contributions.\n",
      "• Experience with software engineering methodologies such as Agile, Scrum, Kanban.\n",
      "• Excellent analytical and problem-solving skills.\n",
      "• Ability to work independently and as part of a team.\n",
      "• Willingness to learn skills, tools, and methods to advance the quality, consistency, and timeliness of AMD software products.\n",
      "\n",
      "PREFERRED EXPERIENCE:\n",
      "• Experience with deep learning models and associated AI frameworks (PyTorch, TensorFlow, Jax, Deepspeed, Mosaic, Horovod, Collasal.ai)\n",
      "• Experience with GPU kernel programming using CUDA, HIP or OpenCL.\n",
      "• Experience in implementing and optimizing parallel methods on GPU accelerators (NCCL/RCCL, OpenMP, MPI)\n",
      "• Experience training models in a clustered environment\n",
      "• Experience deploying inferencing models.\n",
      "• Performance analysis skills for both CPU and GPU\n",
      "• Experience with Singularity, Docker, and/or Kubernetes.\n",
      "• Experience in all the phases of software development, from requirement gathering, analysis, design, development, testing to final release.\n",
      "• Experience providing clear and timely communication related to status and other key aspects of the project to leadership team.\n",
      "\n",
      " \n",
      "\n",
      "LOCATION:\n",
      "\n",
      "Santa Clara. CA/ Austin, TX\n",
      "\n",
      "#AISS23\n",
      "\n",
      "#LI-RL1\n",
      "\n",
      "At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.\n",
      "\n",
      "AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.\n",
      "-------------------------\n",
      "AI Software Engineers - Skills and Knowledge:\n",
      "\n",
      "1 A strong interest and inquisitiveness about AI, Generative AI and OpenAI technologies.\n",
      "\n",
      "2 Programming Languages: Should be experienced in primary programming languages such as Javascript (NodeJS), Java, Golang or Python. Candidates with Javascript experience should have working knowledge of NextJS. Python experience should include AI / Client.\n",
      "\n",
      "3 Working knowledge of OpenAPI/Swagger specification & good understanding of handling JSON data.\n",
      "\n",
      "4 Understanding the concepts of Prompt Engineering.\n",
      "\n",
      "5 Authentication and Authorization: You should understand how to use API keys for authentication, and how to securely manage and store API keys. Plus understand the concepts of OAuth.\n",
      "\n",
      "6 Knowledge of Redis, NoSQL DBs and Vector DBs a big plus.\n",
      "\n",
      "7 Cloud based deployments and integration, particularly Azure.\n",
      "\n",
      "8 Using Linux shell.\n",
      "\n",
      "9 Error Handling: You should know how to handle errors and exceptions that may occur during API calls. This includes understanding how to interpret HTTP status codes and error messages returned by the API.\n",
      "\n",
      "10 Version Control: Good understanding of using Git.\n",
      "\n",
      "11 Basic Machine Learning Concepts: While not strictly necessary for API integration, having a basic understanding of machine learning concepts can help you make more effective use of OpenAI's AI-powered APIs, such as GPT-3.\n",
      "12 Documentation and Testing: You should be able to read and understand API documentation.\n",
      "-------------------------\n",
      "If you have strong experience with AI and managing teams, please read on!\n",
      "\n",
      "Job Title: Engineering Manager (AI Safety)\n",
      "Location: REMOTE or On-site Berkeley, CA\n",
      "Salary: $125K - $250K (Depending on Experience)\n",
      "Requirements: 2+ Years of Artificial Intelligence (AI) Experience\n",
      "\n",
      "This would be an amazing opportunity for you if you are looking to join a pioneer in AI technologies!\n",
      "\n",
      "Additional ways in which a candidate may stand out would be:\n",
      "- Experience with machine learning methodologies\n",
      "- Experience with operating system internals What You Will Be Doing\n",
      "\n",
      "- Scaling laws for prompt injections\n",
      "- Explore adversarial training, architectural improvements, and other changes\n",
      "- Mechanistic interpretability for mesa-optimization\n",
      "- Develop techniques to identify internal planning in models to effectively audit \"goals\" of models\n",
      "- Redteaming of frontier models\n",
      "- Apply research insights to test for vulnerabilities and limitations of frontier AI models prior to development\n",
      "- Help resolve prompt injections or \"jailbreaks\" in language models\n",
      "What You Need for this Position\n",
      "\n",
      "Required:\n",
      "- Track record of leading or managing technical projects or teams, ideally in a startup or research environment\n",
      "- Strong foundation in software engineering, with proficiency in at least one object-oriented programming language (preferably Python).\n",
      "- Are results-oriented and motivated by impactful research.\n",
      "- Excellent ability to communicate complex technical concepts and lead collaborative efforts.\n",
      "\n",
      "Preferred:\n",
      "- Experience with machine learning methodologies and frameworks like PyTorch or TensorFlow.\n",
      "- Familiarity with Operating system internals and distributed systems.\n",
      "- Familiarity with basic linear algebra, calculus, vector probability, and statistics.\n",
      "- Publications or open-source software contributions. What's In It for You\n",
      "\n",
      "- Ability to Work Remote\n",
      "- Competitive Salary\n",
      "- Generous PTO/Vacation Time\n",
      "- Other Great Benefits\n",
      "\n",
      "We are ACTIVELY interviewing. Please APPLY TODAY!\n",
      "\n",
      "Colorado employees will receive paid sick leave. For additional information about available benefits, please contact Dave Dewald\n",
      "\n",
      "Applicants must be authorized to work in the U.S.\n",
      "Preferred Skills\n",
      "AI\n",
      "\n",
      "Safety\n",
      "\n",
      "Artificial Intelligence\n",
      "\n",
      "Management\n",
      "\n",
      "Python\n",
      "\n",
      "Programming\n",
      "\n",
      "Machine\n",
      "-------------------------\n",
      "Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world.\n",
      "\n",
      "Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world’s fastest growing insurance organizations, capable of writing in 128 countries on 6 continents.\n",
      "\n",
      "As a Generative AI Engineer, you will play a crucial role in developing and implementing cutting-edge generative AI models to solve complex problems and create innovative solutions. You will work closely with business stakeholders and cross-functional members of IT to understand business processes, and what efficiencies and productivity can be gained through the use of Generative AI models. You will collaborate with data scientists, software engineers, and domain experts to develop and implement creative solutions that meet business objectives. You will continuously monitor and enhance existing models for performance, and to ensure accuracy and improvement of outputs.\n",
      "\n",
      "Required Skills / Description\n",
      "• A solid understanding of generative AI concepts and various generative AI models such as generative adversarial networks (GANs) or variational autoencoders (VAEs) or transformers, and when they should be applied to provide optimal results. This includes familiarity with their architecture, training methods and applications for successful implementation.\n",
      "• Experience with generative AI models such as GPT 3.5 or GPT 4.\n",
      "• Strong Python programming skills.\n",
      "• Experience and proficiency with prompt engineering.\n",
      "• Familiarity with machine learning frameworks like TensorFlow and PyTorch.\n",
      "• Experience applying AI/Generative AI to real-world use cases and existing workflows.\n",
      "• A solid understanding of deep learning concepts and frameworks.\n",
      "• Experience with Vector databases.\n",
      "• Experience in integrating generative AI models into enterprise platforms and existing applications. The candidate should have a strong understanding of how to leverage these models to generate new data, and how to deploy and scale these solutions in a production environment.\n",
      "• Proficient in assessing and evaluating the output of generative AI models, including the design of appropriate evaluation metrics, conducting qualitative and quantitative assessments, and model refinement based on performance.\n",
      "• Strong experience with preprocessing and manipulating large datasets to extract meaningful features for training models. This includes cleaning, normalizing, and transforming data to make it suitable for training models.\n",
      "• Solid understanding of computer vision or natural language processing.\n",
      "• Strong creativity and problem-solving skills, with an ability to think outside the box, experiment with different approaches, and iterate on models and processes.\n",
      "• Growth and learning mindset that stays up to date with the latest advancements in AI, and technology in general.\n",
      "• Strong collaboration and communication skills, with an ability to work with cross-functional teams and stakeholders.\n",
      "• BA or BS degree computer science, artificial intelligence, machine learning, or related field.\n",
      "• Master’s degree in these fields preferred but not necessary.\n",
      "• Experience in insurance to best understand how and when to apply is a plus.\n",
      "\n",
      "For individuals assigned and/or hired to work in New York, Starr Insurance Companies is required by law to include a reasonable estimate of the compensation range for this role. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets: experience and training: licensure and certifications: and other business and organizational needs. A reasonable estimate of the current range is $180,000-$200,000.\n",
      "\n",
      "Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.\n",
      "\n",
      "#LI-EP1\n",
      "\n",
      "Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.\n",
      "-------------------------\n",
      "Principal AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "Capital One is currently in search of a Senior Distinguished Engineer for AI Systems to partake in constructing the base of our company's AI capabilities. As a part of the team, you will work together with AI researchers and engineers to come up with secure and reliable infrastructures, big-scale distributed training clusters, and innovative research and development ventures in the field of AI. The ideal candidate should possess extensive knowledge in cloud environments, machine learning, and distributed computing, and must have a strong motivation to lead the banking industry towards continuous innovation.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Develop a durable infrastructure to support lengthy, high-stakes training processes that depend on container and checkpointing libraries.\n",
      "• Establishing a robust infrastructure to support the deployment and operation of large machine learning models is crucial within our public cloud environment.\n",
      "• In order to enhance the efficiency of training tasks, a large-scale training cluster with a thousand nodes can be deployed and optimized in the public cloud, focusing on the optimization of storage and networking stack.\n",
      "• Develop and execute performance tests on AI software systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance.\n",
      "• Utilize big language models (LLMs) and feature models (FMs) to design and create innovative applications that meet end-user demands.\n",
      "• Developing and integrating continuous integration/continuous delivery (CI/CD) pipelines into MLOps workflows can streamline the deployment of foundation models.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical degree, such as Computer Science or Computer Engineering at the Bachelor's level, is necessary for this position.\n",
      "• With more than seven years of expertise, I specialize in developing distributed computing, high-performance computing (HPC), and extensive machine learning (ML) systems.\n",
      "• Proficient in Python or C/C++, with valuable expertise in developing AI and ML algorithms gained over 5+ years of experience.\n",
      "• My expertise spans over 3 years in the entire machine language development process, utilizing frameworks for artificial intelligence and machine learning in conjunction with the public cloud.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Possession of a Master's degree or PhD in Engineering, Computer Science, or a related technical field, or an equivalent practical experience that centers on modern AI techniques is required.\n",
      "• Proficient in developing extensive distributed systems within cloud environments like AWS, Azure or GCP.\n",
      "• With a proven track record of designing cloud systems for a wide range of industries, the candidate has extensive experience in ensuring the security, availability, performance, scalability, and cost-effectiveness of these systems.\n",
      "• Successfully navigating the MLOps life cycle to deliver extensive models has been a key area of expertise in our team.\n",
      "• Creating GPU clusters in the public cloud while integrating storage and networking in a closely-knit manner has been a challenging but rewarding experience.\n",
      "• Proficient in utilizing the full technology stack for the distributed training of large models, encompassing machine learning compilers, frameworks for distributed training, and ML development platforms including PyTorch, TensorFlow, Lightning, and others.\n",
      "• Proficient in utilizing AI technology stack encompassing areas such as prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, and fine-tuning to deliver high-quality results.\n",
      "• Scientific papers presented at highly-regarded conferences or notable contributions in the field of neural networks, distributed training, and systems modeling language (SysML).\n",
      "\n",
      "Benefits of the Posiiton:\n",
      "• Monetary rewards based on performance, including bonuses and incentives for the long-term, are known as performance-based incentive compensation.\n",
      "• Our benefits package covers everything you need to ensure your overall well-being, from healthcare to financial incentives.\n",
      "• Capital One offers several avenues for professional advancement and personal growth for its employees.\n",
      "• The workplace nurtures growth and development by promoting an inclusive and supportive atmosphere.\n",
      "\n",
      "About Company:\n",
      "\n",
      "At Capital One, our mission is centered around constructing AI systems that are dependable, ethical, and incorporate human input, enhancing the financial industry. Our primary attention is on AI and machine learning advancements that will bring about automated and intelligent customer support. With our extensive utilization of machine learning platforms and public cloud infrastructure, we possess the necessary resources to capitalize on AI's potential. Joining us will enable you to participate in the reconstruction of how we serve clients and corporations while making a substantial impact on the future of banking.\n",
      "-------------------------\n",
      "Description\n",
      "\n",
      "Raleigh-Durham, NC; Boston, MA; Remote\n",
      "\n",
      "We are looking for a motivated and self-driven AIML engineer to join our expanding Data Science Services (DSS) team in North America. The DSS group is part of Zifo’s Innovation and Emerging Services organization. Zifo serves the pharmaceutical, biotech, and health industries by accelerating the discovery, development, and manufacturing of new drugs, therapies, and vaccines—to save lives faster! \n",
      "\n",
      "As part of the DSS team, you will work with global teams comprised of engineers, researchers, scientists, architects, and consultants to drive Digital Transformation & AIML initiatives for the Life sciences industry. You are expected to continuously learn & be the AIML expert to support broader enterprise vision and growth strategies.\n",
      "\n",
      "Requirements\n",
      "\n",
      "Responsibilities:\n",
      "• Coordinate with external stakeholders, clients & technology partners for planning & executions\n",
      "• Collaborate, coach and master emerging standards, frameworks and AIML use-cases,\n",
      "• Architect complex AIML solutions and deploy in production environments,\n",
      "• Be a thought leader and represent Zifo in conferences and industry events,\n",
      "• Publish whitepapers, online articles, and/or peer-reviewed articles,\n",
      "• Support the leadership to further develop & grow data science business.\n",
      "\n",
      "Qualifications & Required Experience\n",
      "• Bachelor’s or master’s in data sciences / computer science/engineering or related field \n",
      "• 3+ years of experience designing, developing & deploying complex AIML solutions,\n",
      "• 3+ years of experience with Data & ML lifecycle management, MDLC, and MLOps,\n",
      "• 3+ years of experience with traditional ML, deep learning, and/or generative AI,\n",
      "• 3+ years of experience working with major data modalities (text, images, omics, graphs, etc.)\n",
      "• Expertise in programming languages & ML libraries (Python, Spark, TensorFlow, PyTorch, etc.)\n",
      "• Experience with cloud deployment for AIML solutions (Azure, AWS, GCP, DataBricks, etc.)\n",
      "\n",
      "Good To Have\n",
      "• Background in health sciences or experience working with health or real-world data,\n",
      "• Background in life sciences or experience working with omics data for AIML.\n",
      "\n",
      "A Successful “Zifo-ite” Is\n",
      "• Independent, self-motivated & results driven,\n",
      "• Quickly & continually acquires new skills & business principles,\n",
      "• Critical thinker who possesses logical reasoning, and\n",
      "• Curious and always looking for creative solutions to complex problems.\n",
      "\n",
      "Benefits\n",
      "\n",
      "About Zifo:\n",
      "\n",
      "CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 7 of the Top 10 Biopharma companies.\n",
      "\n",
      "We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability.\n",
      "\n",
      "We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.\n",
      "\n",
      "If you share these sentiments and are prepared for the atypical, then Zifo is your calling!\n",
      "\n",
      "Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n",
      "-------------------------\n",
      "Key ResponsibilitiesIdentify AI integration and automation opportunities within various teams to improve efficiency and revenueDevelop and deploy AI tools, with a focus on LLMs and NLP, aligning with strategic goalsServe as an internal AI consultant, guiding on AI best practices and implementationRequired Qualifications and EducationAt least 3 years of professional experience with a Master's degree in Computer Science or equivalent experience preferredDemonstrated experience in Python and familiarity with OpenAI frameworksSolid understanding of NLP, AI, and familiarity with LLMs like GPT-4, Claude, and Llama 2Experience in building and deploying AI-driven products, particularly involving LLMs into productionElixir knowledge is a plus but not required\n",
      "\n",
      "Last updated : 2024-03-31\n",
      "-------------------------\n",
      "Software Engineer - Salesforce Support and Generative AI\n",
      "\n",
      "Fitch Group is seeking a “Software Engineer - Salesforce Support and Generative AI” to join the Fitch Business Applications team.\n",
      "\n",
      "In this role, you will be responsible for integrating Salesforce support cases and knowledge base into Generative AI models, particularly leveraging Large Language Models (LLM) for prompt engineering specific to Salesforce support engineers.\n",
      "\n",
      "What We Offer:\n",
      "• High-achieving diversified team and work-life balance\n",
      "• Excellent exposure to the latest technology.\n",
      "• Opportunities to learn and grow.\n",
      "\n",
      "We’ll Count on You To:\n",
      "• Manage day-to-day administration of Salesforce cases and be part of the group salesforce support team.\n",
      "• Manage Salesforce users, profiles, roles, public groups, share settings and other administrative responsibilities.\n",
      "• Support Salesforce configuration changes such as validation rules, page layouts, fields, processes, and workflows that drive internal efficiencies.\n",
      "• Collaborate with end users (Business) to help troubleshoot and resolve their day-to-day salesforce configuration and workflow issues/concerns.\n",
      "• Maintain data integrity through data cleansing, de-duplication, and record merging.\n",
      "• Assist in documenting existing processes and workflows to strengthen institutional knowledge.\n",
      "• Create simple and complex reports as requested by the sales leaders and users.\n",
      "• Maintain salesforce dashboards and update as needed.\n",
      "• Proactively collaborate with the salesforce development and other business applications team and get the issues resolved timely.\n",
      "• Identify opportunities for process improvement within Salesforce.\n",
      "• Create QA documentation for new functionalities and update regression test suite on a regular basis.\n",
      "• Provide testing and QA support as needed.\n",
      "• Participate in training end-users with new enhanced features/functionalities.\n",
      "• Collaborate with cross-functional teams to understand Salesforce support case workflows and integrate them into AI-driven solutions.\n",
      "• Develop algorithms to extract insights and information from existing Salesforce knowledge base resources and enrich them using Generative AI techniques.\n",
      "• Design, train, and optimize Generative AI models, particularly Large Language Models (LLMs), tailored to address the specific needs of Salesforce support engineers.\n",
      "• Create and refine prompts and input formats that facilitate effective utilization of Generative AI for addressing Salesforce support inquiries and challenges.\n",
      "• Continuously monitor and improve the performance and efficiency of Generative AI models, ensuring they deliver accurate and timely responses to support queries.\n",
      "• Work closely with stakeholders, including Salesforce support teams, data scientists, and product managers, to gather requirements, provide updates, and solicit feedback for iterative improvements.\n",
      "• Document development processes, model architectures, and best practices for utilizing Generative AI in Salesforce support scenarios. Conduct training sessions to empower support engineers in leveraging AI tools effectively.\n",
      "\n",
      "What You Need to Have:\n",
      "• Bachelor's or Master's degree in Computer Science, Engineering, or related field.\n",
      "• Proven experience in Salesforce support and familiarity with support case management workflows.\n",
      "• Experience with Apttus/Conga CLM is desirable.\n",
      "• Experience using Jira, Confluence, or similar project management software.\n",
      "• Experience with Data loader or any other Data management tool.\n",
      "• Relevant Salesforce certifications and Trailhead experience are desirable.\n",
      "• Strong programming skills, particularly in Python, with experience in AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.\n",
      "• Solid understanding of Natural Language Processing (NLP) concepts and techniques, including language modeling, text generation, and sequence-to-sequence modeling.\n",
      "• Experience with Generative AI model development and deployment, preferably with Large Language Models (LLMs) such as GPT or BERT.\n",
      "• Ability to effectively communicate technical concepts to non-technical stakeholders and collaborate in a cross-functional team environment.\n",
      "• Strong problem-solving skills and a proactive mindset towards identifying and addressing challenges in AI-driven support solutions.\n",
      "\n",
      "What Would Make You Stand Out:\n",
      "• Excellent relationship-building skills and ability to liaise with stakeholders at all levels.\n",
      "• Demonstrates enthusiasm towards continued personal/professional development.\n",
      "• Excellent written and verbal communication skills.\n",
      "• Previous experience in developing AI-driven solutions for customer support or knowledge management domains.\n",
      "• Familiarity with Salesforce platform development, including Apex, Visualforce, and Lightning components.\n",
      "• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.\n",
      "• Knowledge of software engineering best practices, including version control, automated testing, and continuous integration/continuous deployment (CI/CD) pipelines.\n",
      "\n",
      "Why Fitch?\n",
      "\n",
      "At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.\n",
      "\n",
      "Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.\n",
      "\n",
      "We are building incredible things at Fitch and we invite you to join us on our journey.\n",
      "\n",
      "Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning.\n",
      "\n",
      "For more information please visit our websites:\n",
      "\n",
      "www.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com\n",
      "\n",
      "Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.\n",
      "\n",
      "Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.\n",
      "\n",
      "FOR NEW YORK ROLES ONLY: Expected base pay rates for the role will be between $75,000 and $100,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.\n",
      "\n",
      "#LI-Group\n",
      "\n",
      "#LI-TECH\n",
      "\n",
      "#LI-Hybrid\n",
      "-------------------------\n",
      "EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.\n",
      "\n",
      "​ AI/Machine Learning Engineer, Manager Consultant\n",
      "\n",
      "The opportunity\n",
      "\n",
      "Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.\n",
      "\n",
      "Your key responsibilities\n",
      "\n",
      "You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.\n",
      "\n",
      "You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.\n",
      "\n",
      "Skills and attributes for success\n",
      "\n",
      "This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.\n",
      "\n",
      "To qualify for the role you must have\n",
      "• Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning\n",
      "• 2-4 years of experience directly managing technical teams\n",
      "• Strong skills in Python.\n",
      "• Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).\n",
      "• Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.\n",
      "• Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.\n",
      "• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.\n",
      "• Experience with MLOps methods and platforms such as MLFlow.\n",
      "• Experience with CI/CD and test-driven development.\n",
      "• Experience designing, building, and maintaining ML models, frameworks, and pipelines.\n",
      "• Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.\n",
      "• Understanding of data structures, data modelling and software engineering best practices.\n",
      "• Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.\n",
      "• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.\n",
      "• Experience with containerization and scaling models.\n",
      "• Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.\n",
      "• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.\n",
      "• Willingness to travel to meet client obligations.\n",
      "\n",
      "Ideally, you'll also have\n",
      "• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.\n",
      "• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.\n",
      "• Experience working with diverse teams to deliver complex solutions.\n",
      "• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.\n",
      "• Experience fine-tuning Generative AI models.\n",
      "\n",
      "What we look for\n",
      "• You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.\n",
      "• You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.\n",
      "• You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.\n",
      "\n",
      "FY24CH\n",
      "\n",
      "What we offer\n",
      "\n",
      "We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The salary range for this job in most geographic locations in the US is $127,400 to $233,500. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $152,900 to $265,400. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.\n",
      "• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.\n",
      "• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.\n",
      "• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.\n",
      "• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.\n",
      "\n",
      "If you can demonstrate that you meet the criteria above, please contact us as soon as possible.\n",
      "\n",
      "The exceptional EY experience. It’s yours to build.\n",
      "\n",
      "EY | Building a better working world\n",
      "\n",
      "EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.\n",
      "\n",
      "Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.\n",
      "\n",
      "Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.\n",
      "\n",
      "EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.\n",
      "\n",
      "EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com\n",
      "-------------------------\n",
      "About the company\n",
      "Albertsons Companies is at the forefront of the revolution in retail. With a fixation on raising the bar with innovation and building belonging through our culture, our team is rallying our company around a unique purpose: to create joy around each table and inspire a healthier tomorrow for every community.\n",
      "Albertsons Companies is one of the largest food and drug retailers in the United States, with over 2,200 stores in 34 states and the District of Columbia. Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carrs, Kings Food Markets, and Balducci's Food Lovers Market. We support our stores with 22 distribution centers and 19 manufacturing plants.\n",
      "Placing a premium on adaptability, safety and family well-being, our work model, Presence with a Purpose, offers a hybrid work environment between remote work and office time. A one-size-fits-all approach does not apply to everyone, and teams are empowered to make decisions best for them.\n",
      "\n",
      "Bring your flavor\n",
      "Building the future of food and well-being starts with you. Join our team and bring your best self to the table.\n",
      "\n",
      "What you will be doing\n",
      "\n",
      "Conduct research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services\n",
      "\n",
      "The position will be based out of our Pleasanton, CA corporate office.\n",
      "\n",
      "Main responsibilities\n",
      "Design, develop, and implement generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.\n",
      "Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.\n",
      "Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.\n",
      "Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.\n",
      "Contribute to the establishment of best practices and standards for generative AI development within the organization.\n",
      "Optimize existing generative AI models for improved performance, scalability, and efficiency.\n",
      "Provide technical mentorship and guidance to junior team members.\n",
      "\n",
      "The salary range is $144,760-$188,188 annually. Starting salary will vary based on criteria such as location, experience, and qualifications. There may be flexibility for exceptional candidates.\n",
      "\n",
      "What we are searching for\n",
      "Bachelor's degree in computer science, Artificial Intelligence, Machine Learning, or a related field.\n",
      "Experience developing and implementing machine learning pipelines for generative AI models, AI, ML Models with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.\n",
      "Minimum of 7-years' experience in Python and with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.\n",
      "3+ years' experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.\n",
      "3+ years' experience with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly\n",
      "Strong knowledge of any Distributed processing frameworks such as Apache Spark, Hadoop\n",
      "Strong knowledge of data structures, algorithms, and software engineering principles\n",
      "Familiar with cloud-based platforms and services, such as AWS, GCP, orAzure\n",
      "Knowledge of software development methodologies, such as Agile or Scrum\n",
      "Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.\n",
      "A team player and self-starter who will work side by side with the development team.\n",
      "\n",
      "What is it like at Albertsons?\n",
      "Our 290,000 associates have a passion for great service and building lasting relationships with our customers. Through a companywide focus on innovation, we are continually enhancing our digital and product offerings, making it easy for customers to get what they need, wherever they are.\n",
      "\n",
      "Albertsons is an Equal Opportunity Employer\n",
      "This Company is an Equal Opportunity Employer, and does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, gender identity/expression, sexual orientation, or on any other basis prohibited by law. Consistent with applicable state and local law, the Company will consider for employment qualified applicants with arrest and conviction records.\n",
      "\n",
      "We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at 1-888-255-2269(option #4).\n",
      "-------------------------\n",
      "At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. Job Description Summary: What you need to know about the role: We are currently seeking an experienced AI/ML engineer who will collaborate closely with cross-functional teams to develop and deploy AI/ML-powered features and tools that optimize employee experiences and drive business outcomes. As part of our team, you'll work with cutting-edge AI/ML technologies and be at the forefront of the latest advancements in the field. Meet our team: At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. Job Description: Your way to impact: As an AI/ML engineer, you will be responsible for designing, developing, and deploying machine learning models and AI applications that solve complex business problems. Your day to day: In your day to day, you will: Develop and deploy machine learning models and AI applications Work closely with other members of the team to design and implement solutions, including collaborating with domain SMEs to understand the data and design models, working with software engineers to integrate models into products, and collaborating with product managers to define requirements and prioritize work. Responsible for developing and maintaining data pipelines to support machine learning models, which includes data cleaning, feature engineering, and data storage. As the field of AI/ML evolves, you will be responsible for staying up to date with new tools and technologies and evaluating their potential impact on the business. Design and develop efficient algorithms - you will need to design and develop efficient algorithms for large-scale data processing, as well as optimize existing algorithms for performance. Conduct experiments to evaluate model performance, including designing experiments to evaluate the performance of machine learning models, and then analyze and interpret the results to improve model performance. Communicate technical concepts to non-technical stakeholders, you will need to be able to communicate complex technical concepts to non-technical stakeholders in a way that is easy to understand. What do you need to bring: BS / BA degree required Strong programming skills in Python, Java, C , or R, and be able to write clean, efficient, and well-documented code. Deep understanding of various machine learning algorithms and techniques, such as supervised and unsupervised learning, neural networks, decision trees, and clustering. Prior experience with popular machine learning libraries such as TensorFlow, Keras, PyTorch, or scikit-learn, and familiar with deep learning architectures and techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and reinforcement learning. Experience with big data processing frameworks such as Hadoop, Spark, or Kafka, and hands-on experience with Azure AI, MS Workflow, integrating REST-based APIs Experience with data preparation and data engineering: AI/ML engineers should have experience with data preparation and data engineering tasks such as data cleaning, feature engineering, and data transformation. **We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply! Additional Job Description: Subsidiary: PayPal Travel Percent: 0 Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: Click Here to learn more about our culture and community. PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Any general requests for consideration of your skills, please Join Our Talent Community. As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated. At PayPal we are reimagining money, democratizing financial services, and giving people more ways to safely connect to their money and to each other. We are purpose-driven and looking for people who want to join us at the forefront of the digital payments revolution. Learn more at PayPal.com/Jobs Learn more about privacy-related questions or data retention. If you would like your profile to be deleted from our system, please let us know Please note that this site has updated features that can’t run on older versions of Internet Explorer. Please use IE11 or MS Edge for an optimal experience. When applying for a job you are required to create an account, if you have already created an account - click Sign In. Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account: Provide full legal First Name/Family Name – this is important for us to ensure our future hires have the right system set up. Please Capitalize first letter of your First and Last Name. Please avoid using fully capitalized text for your First and/or Last Name. NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID. Please note that this site has updated features that can’t run on older versions of Internet Explorer. Please use IE11 or MS Edge for an optimal experience.\n",
      "-------------------------\n",
      "You will be a part of a world class team in the media and financial industries, powered by AI and other technologies. We are backed by Wall Street media and financial institutions.\n",
      "\n",
      "Must be able to get hands dirty.\n",
      "\n",
      "Here, you will be a part of the team that:\n",
      "• does real innovations, not buzzwords\n",
      "• has zero company politics\n",
      "• welcomes people with decent character and skills from all tribes and backgrounds\n",
      "• pays you well, relative to other early stage startups\n",
      "\n",
      "Warning:\n",
      "• We do not want a corporate bureaucracy here\n",
      "• We do not like talking in circles or anything passive aggressive\n",
      "• We get things done\n",
      "\n",
      "Hybrid work environment. In personal collaboration is needed, and reasonable amount of time for remote work to \"get things done\".\n",
      "\n",
      "We are based in Mid Peninsula, San Francisco Bay Area, the heart of the Silicon Valley.\n",
      "\n",
      "3 Zero Benefits:\n",
      "\n",
      "Zero Politics, Zero Nonsense, Zero Bureaucracy.\n",
      "\n",
      "3 High Benefits:\n",
      "\n",
      "High Growth, High Efficiency, High Initiation\n",
      "\n",
      "3 Great Benefits:\n",
      "\n",
      "Great Colleagues, Great Product, Great Future\n",
      "\n",
      "Job Type: Contract\n",
      "\n",
      "Pay: $100,000.00 - $200,000.00 per year\n",
      "\n",
      "Schedule:\n",
      "• Choose your own hours\n",
      "\n",
      "Work Location: Hybrid remote in East Palo Alto, CA 94303\n",
      "-------------------------\n",
      "Generative AI Engineer, Senior\n",
      "\n",
      "The Opportunity\n",
      "\n",
      "As an experienced engineer, you know that artificial intelligence (AI), particularly Generative AI and large language models (LLMs), has begun transforming the world, including every aspect of the way businesses are run. We need your technical knowledge and problem-solving abilities to identify and develop opportunities for the use of AI, ML, and LLMs to solve real-world business and operational problems that will help Booz Allen and its clients execute missions of national importance.\n",
      "\n",
      "In this role, you will architect and build new generative AI-based products and offerings and their integration into specific client missions, both within the enterprise business context and in operational use cases. You'll collaborate with a community of research and experimentation leaders, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions. Your advanced solutioning skills and extensive technical expertise will help drive innovation that is applicable across multiple client domains.\n",
      "\n",
      "Join us. The world can't wait.\n",
      "\n",
      "You Have:\n",
      "• 5+ years of experience in software engineering, including leading teams to build customer-facing solutions and products\n",
      "• Experience with integrating large language models, GPT models or multi-modal models with applications or user interfaces\n",
      "• Experience with leading and working in a collaborative, cross-functional team environment, consisting of security engineers, data scientists, machine learning engineers, and designers\n",
      "• Knowledge of MLOps, including CI/CD, model training or testing, deployment, or monitoring\n",
      "• Ability to distill complex technical concepts into easily understood summaries consumable by business leaders with a non-technical background\n",
      "• Ability to obtain a security clearance\n",
      "• Bachelors degree\n",
      "\n",
      "Nice If You Have:\n",
      "• 2+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing, and LLM frameworks\n",
      "• Experience with standup of Cloud-based infrastructure and platform services, including AWS, Azure, or Google Cloud Platform\n",
      "• Experience working with federal clients\n",
      "• Possession of strong verbal and written communication skills\n",
      "\n",
      "Clearance:\n",
      "\n",
      "Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.\n",
      "\n",
      "Create Your Career:\n",
      "\n",
      "Grow With Us\n",
      "\n",
      "Your growth matters to us-that's why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.\n",
      "\n",
      "A Place Where You Belong\n",
      "\n",
      "Diverse perspectives cultivate collective ingenuity. Booz Allen's culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you'll develop your community in no time.\n",
      "\n",
      "Support Your Well-Being\n",
      "\n",
      "Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we'll support you as you pursue a balanced, fulfilling life-at work and at home.\n",
      "\n",
      "Your Candidate Journey\n",
      "\n",
      "At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we've compiled a list of resources so you'll know what to expect as we forge a connection with you during your journey as a candidate with us.\n",
      "\n",
      "Compensation\n",
      "\n",
      "At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.\n",
      "\n",
      "Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $93,300.00 to $212,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.\n",
      "\n",
      "Work Model\n",
      "\n",
      "Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.\n",
      "• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.\n",
      "• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.\n",
      "\n",
      "EEO Commitment\n",
      "\n",
      "We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.\n",
      "-------------------------\n",
      "Locations: VA - McLean, United States of America, McLean, Virginia\n",
      "\n",
      "Sr Distinguished Engineer, Generative AI Systems - (Remote- Eligible)\n",
      "\n",
      "Sr Distinguished Engineer, Generative AI Systems\n",
      "\n",
      "Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.\n",
      "\n",
      "We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include:\n",
      "• Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries.\n",
      "• Design and build infrastructure for serving large ML models, in our public cloud.\n",
      "• Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud.\n",
      "• Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection\n",
      "• Develop applications that leverage LLMs and FMs.\n",
      "• Design and implement capabilities to support MLOps for foundation models.\n",
      "\n",
      "Capital One is open to hiring a Remote Employee for this opportunity\n",
      "\n",
      "Basic Qualifications:\n",
      "• Bachelor's degree in Computer Science, Computer Engineering or a technical field\n",
      "• At least 9 years of experience designing and building distributed computing HPC and large-scale ML systems\n",
      "• At least 6 years of experience developing AI and ML algorithms in Python or C/C++\n",
      "• At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.\n",
      "• Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.\n",
      "• Experience architecting cloud systems for security, availability, performance, scalability, and cost.\n",
      "• Experience with delivering very large models through the MLOps life cycle from exploration to serving.\n",
      "• Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking.\n",
      "• Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.\n",
      "• Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.\n",
      "• Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML.\n",
      "\n",
      "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.\n",
      "\n",
      "The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.\n",
      "\n",
      "New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer\n",
      "\n",
      "San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer\n",
      "\n",
      "Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer\n",
      "\n",
      "Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.\n",
      "\n",
      "This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n",
      "\n",
      "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.\n",
      "\n",
      "This role is expected to accept applications for a minimum of 5 business days.\n",
      "\n",
      "No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n",
      "\n",
      "If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.\n",
      "\n",
      "For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com\n",
      "\n",
      "Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.\n",
      "\n",
      "Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).\n",
      "PDN-9a5d07d7-5389-4d8f-9fb1-71eda555d6e5\n",
      "-------------------------\n",
      "Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA; Pittsburgh, PA, USA; Seattle, WA, USA; San Francisco, CA, USA; Austin, TX, USA.Minimum qualifications:\n",
      "• Bachelor's degree or equivalent practical experience.\n",
      "• 8 years of experience in software development, and with data structures/algorithms.\n",
      "• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.\n",
      "• 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.\n",
      "\n",
      "Preferred qualifications:\n",
      "• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.\n",
      "• 3 years of experience in a technical leadership role leading project teams and setting technical direction.\n",
      "• 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.\n",
      "\n",
      "About The Job\n",
      "\n",
      "Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.\n",
      "\n",
      "With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.\n",
      "\n",
      "Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.\n",
      "\n",
      "The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\n",
      "\n",
      "Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .\n",
      "\n",
      "Responsibilities\n",
      "• Provide technical leadership on high-impact projects.\n",
      "• Influence and coach a distributed team of engineers.\n",
      "• Facilitate alignment and clarity across teams on goals, outcomes, and timelines.\n",
      "• Manage project priorities, deadlines, and deliverables.\n",
      "• Design, develop, test, deploy, maintain, and enhance large scale software solutions.\n",
      "\n",
      "Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .\n",
      "-------------------------\n",
      "ActioNet has an opportunity for an AI/Machine Learning (ML) Engineer requiring a Secret clearance located in San Diego County, CA.. ActioNet is an IT service provider and solutions integrator headquartered in Vienna, VA that works with the Federal Government and Department of Defense. In this role, you will\n",
      "Salary Range $130k-160K\n",
      "As the AI/ML Engineer, your tasks will include:\n",
      "• Conduct data integration.\n",
      "• Investigate flexible analytics solutions visualization, model building, operational decision-making, and decision capture capabilities.\n",
      "• Supports the development of secure, rapid building, training, evaluation, debugging, and deployment of AI models across real world and theoretical scenarios.\n",
      "• Identify portable solutions that can support distributed, vehicle mounted and on-premises use cases.\n",
      "• Apply industry standards, data strategies and governance, data cataloguing, and DataOps practices for tactical systems.\n",
      "• Enhance current AI/ML strategies.\n",
      "• Assess and provide recommendations for survivable Edge Computing solutions that support deployment/employment of AI and ML to the tactical edge.\n",
      "• Build security practices and tools into edge deployments.\n",
      "• Validate AI commercial vendor products.\n",
      "• Develop deep learning models.\n",
      "• Translate operational needs into ML requirements.\n",
      "• Evaluate and assess ML model performance.\n",
      "• Identify and assess bias in externally developed models.\n",
      "• Conduct statistical data analysis.\n",
      "• Develop the user interface for deploying ML models.\n",
      "• Leverage a cloud infrastructure for developing and deploying ML models.\n",
      "Basic Qualifications:\n",
      "• Experience in applying AI to practical comprehensive technology solutions\n",
      "• Experience with AI/ML deep learning, Python\n",
      "• Knowledge of basic algorithms, object-oriented and functional design principles, and\n",
      "• AI/ML best-practice patterns\n",
      "• Experience using AI/ML learning techniques (large language models, clustering, decision tree learning, artificial neural networks, etc.).\n",
      "\n",
      "Desired Position Qualifications:\n",
      "• Three or more years of experience in applying AI to practical comprehensive technology solutions.\n",
      "• Three or more years of experience with AI/ML deep learning, Python\n",
      "• Knowledge of advanced algorithms, object-oriented and functional design principles, and AI/ML best-practice patterns\n",
      "• Three or more years of experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering,\n",
      "• decision trees, neural networks, etc.\n",
      "• Bachelor’s degree in Computer Science, Mathematics, Computer Engineering, or related field.\n",
      "\n",
      "ActioNet is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n",
      "-------------------------\n",
      "Who We Are\n",
      "\n",
      "The Cisco Security AI team delivers AI products and platform for all Cisco secure products and portfolios so businesses around the world defend against threats and safeguard the most vital aspects of your business with security resilience. We are passionate about making businesses secure and simplify security with zero compromise using AI and Machine Learning.\n",
      "Who You Are\n",
      "\n",
      "We are looking for a highly skilled Senior Software Engineer to assume a leadership role in developing and maintaining APIs for our AI platform. As a Senior Software Engineer, you will collaborate closely with disparate teams, providing technical expertise, and leading initiatives to enhance our AI platform's capabilities. Your deep understanding of Kubernetes architecture, cloud infrastructure, and your passion for AI and machine learning will be instrumental in guiding our team to success.\n",
      "What You Will Do\n",
      "\n",
      "Technical Leadership: Provide technical leadership by guiding and mentoring a team of Software Engineers, driving technical excellence in API development and cloud deployment.\n",
      "\n",
      "API Development: Design, develop, and maintain APIs that expose AI capabilities to various teams, ensuring scalability, reliability, and ease of use.\n",
      "\n",
      "AI Integration: Collaborate with data scientists and AI engineers to seamlessly integrate AI models and algorithms into the platform, making them accessible through the APIs.\n",
      "\n",
      "Kubernetes Expertise: Leverage your experience with Kubernetes to architect and optimize deployment and orchestration of AI services in containerized environments.\n",
      "\n",
      "Cloud Infrastructure Deployment: Lead the deployment and management of AI services on cloud platforms such as AWS, Google Cloud, and Azure for scalability, security, and cost optimization.\n",
      "\n",
      "Performance Optimization: Identify and resolve performance bottlenecks in the AI platform, optimizing response times and resource utilization.\n",
      "\n",
      "Monitoring and Logging: Implement robust monitoring and logging solutions to track the performance and health of deployed AI services, enabling issue resolution.\n",
      "\n",
      "Security Compliance: Ensure that AI services and APIs meet security and compliance standards, collaborating closely with security teams to implement necessary measures.\n",
      "\n",
      "Documentation: Build clear and comprehensive documentation for APIs, deployment processes enabling teams to use the platform effectively.\n",
      "Basic Qualifications\n",
      "• 5+ years’ experience as a Senior Software Engineer with a strong background in building SaaS services at scale with API first design and demonstrated technical leadership skills.\n",
      "• 5+ year’s experience writing code in Python, Java, Go and/or C/C++.\n",
      "• BA / BS degree with 4+ years of experience (or) MS degree with 2+ years of experience as a software development engineer.\n",
      "\n",
      "Preferred Qualifications\n",
      "• Familiarity with AI and machine learning concepts and the ability to collaborate effectively with data scientists and AI engineers.\n",
      "• Experience with Docker platform delivery tool or similar.\n",
      "• Experience developing distributed systems and implementing them using Kafka, Redis or similar.\n",
      "• Experience developing cloud infrastructure services such as AWS, Google Cloud and/or Azure.\n",
      "• Experience using Kubernetes architecture.\n",
      "• Knowledge of security and compliance standards.\n",
      "\n",
      "Why Cisco Secure\n",
      "\n",
      "We're global, we're adaptable, we're diverse, and our security portfolio is as extensive as it is groundbreaking. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? Those are only a few of our product teams! The only thing we're missing is YOU.\n",
      "\n",
      "Join an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we're better together, that's why we're dedicated to inclusivity, collaboration, and diversity in everything we do.\n",
      "\n",
      "We're proud to be the Best Small and Mid-Size Enterprises Security Solution Cisco Secure continues to grow and evolve year after year with 100% of Fortune 100 Companies using our products, and we're excited to see the new heights we'll reach with your passion for security, your customer focus, and your desire to change things up!\n",
      "\n",
      "There are so many amazing reasons to join Cisco. Learn more here!\n",
      "\n",
      "Message to applicants applying to work in the U.S. and/or Canada:\n",
      "\n",
      "When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.\n",
      "\n",
      "U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday, plus a day off for their birthday. Employees accrue up to 20 days of Paid Time Off (PTO) each year and have access to paid time away to deal with critical or emergency issues without tapping into their PTO. We offer additional paid time to volunteer and give back to the community. Employees are also able to purchase company stock through our Employee Stock Purchase Program.\n",
      "\n",
      "Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:\n",
      "\n",
      ".75% of incentive target for each 1% of revenue attainment up to 50% of quota;\n",
      "\n",
      "1.5% of incentive target for each 1% of attainment between 50% and 75%;\n",
      "\n",
      "1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.\n",
      "\n",
      "For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.\n",
      "\n",
      "XJ6\n",
      "-------------------------\n",
      "Demand.io is reshaping the way people shop. Through our AI-driven social shopping services like SimplyCodes and the upcoming Product.ai, we help millions of consumers shop smarter, save money, and connect with their passions.\n",
      "\n",
      "As a self-funded, profitable startup playing at the intersection of AI and e-commerce, we’re seeing rapid growth and hiring actively to build out our AI, engineering, data science, growth, and product teams. We’re a small, exclusive team of high performing professionals, hiring selectively, and offering outsized compensation through an industry-leading profit sharing system.\n",
      "\n",
      "As a technology accelerator that's been in business for over a decade, we ideate, build, and launch innovative AI services for the e-commerce sector. We partner with over 60,000 retailers, driving over $1 billion in sales annually through our network of shopping products. Our model is to experiment at the bleeding edge of technology, be unafraid to fail fast, and invest aggressively where we see traction.\n",
      "\n",
      "What we're looking for\n",
      "\n",
      "We’re hiring a Senior AI Engineer to join our small but growing team. This position will offer you the opportunity to play a lead role in designing, deploying, fine-tuning, and scaling our commerce-oriented large language models and data systems. We’re looking for candidates with direct experience designing and deploying generative AI systems in large production environments. Experience with retrieval augment generation (RAG) systems, vector databases, and knowledge graphs / graph databases are preferred.\n",
      "\n",
      "What you’ll do:\n",
      "• Leverage artificial intelligence, machine learning, and deep learning techniques to build powerful systems capable of parsing, categorizing, and organizing e-commerce content at scale.\n",
      "• Use state-of-the-art transformers like LLMs to build AI-powered chatbots that can assist customers with their shopping needs, answering their questions and guiding them through the purchasing process.\n",
      "• Help build an advanced LLM Ops pipeline used to deploy, monitor, integrate and train the models in an ongoing fashion.\n",
      "• Develop and refine RAG systems, combining neural network-based language models with information retrieval techniques to enhance the accuracy and relevance of generated text.\n",
      "• Design, build, deploy, and scale robust graph databases, utilizing platforms like Neo4j, Amazon Neptune, and TigerGraph, and integrate these databases into our RAG systems to enrich the depth and precision of our generative AI systems.\n",
      "\n",
      "About you:\n",
      "• Bachelor's or master’s degree in Engineering, Computer Science, Artificial Intelligence, Data Science, or equivalent practical experience.\n",
      "• Demonstrated expertise in multiple AI/ML architectures, particularly in transformers (like GPT and BERT), Large Language Models (OpenAI’s GPT and LLaMA), CNNs and RNNs as well as fine-tuning experience using libraries such as Axolotl, Huggingface Autotrain, or PyTorch Trainer.\n",
      "• Ability to select the appropriate supervised or unsupervised learning strategy for a given problem.\n",
      "• Experience with RAG or similar retrieval-augmented NLP systems.\n",
      "• Experience with machine learning and related libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, LangChain, LlamaIndex, and Hugging Face, NLTK, etc.\n",
      "• Proficiency implementing and optimizing vector similarity search solutions using databases including but not limited to Pinecone, Faiss, ScaNN, Vald, Vespa, Qdrant, Chroma, Deep Lake, Supabase, Milvus, and Weaviate, with an understanding of their underlying indexing and query mechanisms.\n",
      "• Experience in designing, building, deploying, and scaling knowledge graphs and graph databases is preferred, using platforms such as Neo4j, Amazon Neptune, TigerGraph, OrientDB, ArangoDB, Microsoft Azure Cosmos DB, and JanusGraph.\n",
      "• Prior experience with LLM Ops stack including GPU clusters, MLflow, Docker, Kubernetes, Kubeflow, and monitoring tools such as ELK, Grafana, and Prometheus.\n",
      "• In-depth knowledge and expertise with Python. Familiarity with JavaScript or TypeScript is a plus, as is proficiency in both object-oriented and functional programming paradigms.\n",
      "• Deep understanding of building large-scale, low-latency distributed systems and a track record of architecting scalable APIs in high-demand production environments.\n",
      "• Dynamic problem solver with a strong customer focus, adept at driving teams to build user-focused solutions.\n",
      "\n",
      "About the job:\n",
      "• Starting cash compensation: $250,000 - $450,000 DOE.\n",
      "• Stock options: 0.35% to 0.45% initial grant.\n",
      "• Eligibility for our Equity Partners program, a profit-sharing system tied to individual and company performance.\n",
      "• Our Santa Monica HQ is a newly completed state-of-the-art technology development facility offering prodigious open space, open work setup, large recreation & break room with free food, silence / focus facilities, podcasting studio, and sweeping views from the ocean to downtown.\n",
      "• Full access to premium AI services, including ChatGPT Plus, Gemini Advanced, Perplexity Pro, GitHub Copilot, Midjourney Pro, Anthropic Claude, Notion, and more.\n",
      "• Full coverage of your home internet and mobile phone plans (Equity Partners program benefit).\n",
      "• All meals provided free daily, fully stocked kitchen with free food, snacks, coffee and drinks.\n",
      "• Regular team-building events, dinners and activities.\n",
      "• Premium health coverage including comprehensive PPO and HMO options, along with full dental and vision coverage, paid 100% for all your dependents.\n",
      "• Sponsorship for all ongoing education, courses, books and certifications.\n",
      "• 401K program.\n",
      "• Empowered, flexible, high trust work culture. Unlimited PTO.\n",
      "• Relocation assistance available.\n",
      "\n",
      "Learn more about us at https://demand.io.\n",
      "-------------------------\n",
      "Principal AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "Capital One is currently in search of a Senior Distinguished Engineer for AI Systems to partake in constructing the base of our company's AI capabilities. As a part of the team, you will work together with AI researchers and engineers to come up with secure and reliable infrastructures, big-scale distributed training clusters, and innovative research and development ventures in the field of AI. The ideal candidate should possess extensive knowledge in cloud environments, machine learning, and distributed computing, and must have a strong motivation to lead the banking industry towards continuous innovation.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Develop a durable infrastructure to support lengthy, high-stakes training processes that depend on container and checkpointing libraries.\n",
      "• Establishing a robust infrastructure to support the deployment and operation of large machine learning models is crucial within our public cloud environment.\n",
      "• In order to enhance the efficiency of training tasks, a large-scale training cluster with a thousand nodes can be deployed and optimized in the public cloud, focusing on the optimization of storage and networking stack.\n",
      "• Develop and execute performance tests on AI software systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance.\n",
      "• Utilize big language models (LLMs) and feature models (FMs) to design and create innovative applications that meet end-user demands.\n",
      "• Developing and integrating continuous integration/continuous delivery (CI/CD) pipelines into MLOps workflows can streamline the deployment of foundation models.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical degree, such as Computer Science or Computer Engineering at the Bachelor's level, is necessary for this position.\n",
      "• With more than seven years of expertise, I specialize in developing distributed computing, high-performance computing (HPC), and extensive machine learning (ML) systems.\n",
      "• Proficient in Python or C/C++, with valuable expertise in developing AI and ML algorithms gained over 5+ years of experience.\n",
      "• My expertise spans over 3 years in the entire machine language development process, utilizing frameworks for artificial intelligence and machine learning in conjunction with the public cloud.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Possession of a Master's degree or PhD in Engineering, Computer Science, or a related technical field, or an equivalent practical experience that centers on modern AI techniques is required.\n",
      "• Proficient in developing extensive distributed systems within cloud environments like AWS, Azure or GCP.\n",
      "• With a proven track record of designing cloud systems for a wide range of industries, the candidate has extensive experience in ensuring the security, availability, performance, scalability, and cost-effectiveness of these systems.\n",
      "• Successfully navigating the MLOps life cycle to deliver extensive models has been a key area of expertise in our team.\n",
      "• Creating GPU clusters in the public cloud while integrating storage and networking in a closely-knit manner has been a challenging but rewarding experience.\n",
      "• Proficient in utilizing the full technology stack for the distributed training of large models, encompassing machine learning compilers, frameworks for distributed training, and ML development platforms including PyTorch, TensorFlow, Lightning, and others.\n",
      "• Proficient in utilizing AI technology stack encompassing areas such as prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, and fine-tuning to deliver high-quality results.\n",
      "• Scientific papers presented at highly-regarded conferences or notable contributions in the field of neural networks, distributed training, and systems modeling language (SysML).\n",
      "\n",
      "Benefits of the Posiiton:\n",
      "• Monetary rewards based on performance, including bonuses and incentives for the long-term, are known as performance-based incentive compensation.\n",
      "• Our benefits package covers everything you need to ensure your overall well-being, from healthcare to financial incentives.\n",
      "• Capital One offers several avenues for professional advancement and personal growth for its employees.\n",
      "• The workplace nurtures growth and development by promoting an inclusive and supportive atmosphere.\n",
      "\n",
      "About Company:\n",
      "\n",
      "At Capital One, our mission is centered around constructing AI systems that are dependable, ethical, and incorporate human input, enhancing the financial industry. Our primary attention is on AI and machine learning advancements that will bring about automated and intelligent customer support. With our extensive utilization of machine learning platforms and public cloud infrastructure, we possess the necessary resources to capitalize on AI's potential. Joining us will enable you to participate in the reconstruction of how we serve clients and corporations while making a substantial impact on the future of banking.\n",
      "-------------------------\n",
      "Role: AI/ML Engineer\n",
      "\n",
      "Employment Type: Full time (W2) with benefits\n",
      "\n",
      "Workplace Type: 100% on-site\n",
      "\n",
      "Location: Atlanta, GA, USA\n",
      "\n",
      "Salary Range: $126,000 $150,000 per year (based on experience and qualifications)\n",
      "\n",
      "We are seeking an experienced Engineer for our client in Atlanta! You will be responsible for the research, design, and development of embedded electronic/electromechanical systems. These systems have applications within various domains, including electronic warfare, communications, avionics, entertainment, and health monitoring. If youre interested in Artificial Intelligence, Machine Learning, and leading a team at the cutting edge of technology, we look forward to seeing your application!\n",
      "\n",
      "KEY RESPONSIBILITIES:\n",
      "• Design complex system architectures (high-performance computing clusters, networks, chipsets, GPUs) based on available hardware (embedded systems, cloud, on premises).\n",
      "• Lead a team of engineers responsible for system deployment.\n",
      "• Develop novel algorithms and methodologies.\n",
      "• Engage with sponsors to understand and meet system requirements.\n",
      "• Serve as the primary author on technical reports and proposals.\n",
      "• Support content generation, publication, and presentation with regards to technical outreach and conferences.\n",
      "• Collaborate with dynamic and multi-disciplinary teams on tailoring AI/ML algorithms for target platforms and/or use cases.\n",
      "\n",
      "KEY REQUIREMENTS:\n",
      "• Understanding of AI/ML algorithms, principles, and techniques\n",
      "• Proficiency with Python\n",
      "• Experience in designing and implementing AI/ML solutions in a real-world setting.\n",
      "• Experience with machine learning frameworks (e.g., TensorFlow and PyTorch) and libraries (e.g., scikit-learn and pandas)\n",
      "• Demonstrated ability to work with large data sets and complex algorithms.\n",
      "• Knowledge of cloud computing platforms (e.g. AWS and Azure) and distributed computing.\n",
      "• Understand data privacy and security best practices.\n",
      "• Strong communication skills (written and verbal)\n",
      "\n",
      "Must be a U.S. Citizen and be able to obtain/maintain a Secret Clearance.\n",
      "\n",
      "Who We Are\n",
      "\n",
      "Comtech is an award winning, customer-oriented, full-service IT solutions provider serving the Civilian Federal Government, the Department of Defense and other Agencies. In the finance and medical sector, Comtech offers IT solutions to help financial and healthcare organizations comply with regulatory requirements and helps them reduce cost while increasing strategic agility.\n",
      "\n",
      "Comtech has earned its reputation for excellence in service delivery through a commitment to quality. This commitment includes the establishment of the corporate position of Quality Assurance Manager, and our certified International Standards Organization (ISO) 9001:2008 Quality Management System (QMS). Comtech is actively applying the principles and practices of these standards to both our internal business practices and our contracts.\n",
      "\n",
      "Comtech LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected Veteran status.\n",
      "-------------------------\n",
      "Introduction to Shield AI\n",
      "\n",
      "Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies.\n",
      "\n",
      "Job Description:\n",
      "\n",
      "As a Hivemind DevOps engineer, you will design and implement engineering centric automation across the organization. You will work closely with the Developer Experience team implementing policies and guidelines into the continuous integration and delivery systems.\n",
      "\n",
      "This role requires you to be very hands on and contribute to discussions with cross-functional teams across the organization. We embrace an attitude that focuses on solving the root cause of problems efficiently. A large part of your day to day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time.\n",
      "\n",
      "What you'll do:\n",
      "• Own the Hivemind CI/CD system, engaging with autonomy developers and the Developer Experience team daily to support as needed.\n",
      "• Manage and own the monitoring tool stack, focusing on build infrastructure metrics.\n",
      "• Manage and own internal build containers used by all of the Hivemind organization.\n",
      "• Support AI engineers with build issues and educate on best practices.\n",
      "• Manage and own the performance, maintenance, and administration of Hivemind enterprise infrastructure including Azure DevOps, Artifactory, Containers, K8s, etc.\n",
      "• Work closely with the Developer Experience team to improve engineer efficiency.\n",
      "\n",
      "Required qualifications:\n",
      "• BS in computer science or related engineering field with 7+ years of professional experience.\n",
      "• Experience with configuration management tools (Makefile, CMake, Conan, Bazel, etc.).\n",
      "• Strong demonstrated proficiency in continuous integration/delivery (e.g. Github Actions, ADO, TeamCity, etc.).\n",
      "• DevOps experience with a cloud service (Google, Azure, AWS).\n",
      "• Strong knowledge of APIs, web services, and identity access management.\n",
      "• Strong knowledge of containers (e.g. Docker, Podman, etc.).\n",
      "• Strong knowledge of scripting languages (Bash, Python, PowerShell).\n",
      "• Strong knowledge of Git.\n",
      "• Strong knowledge of monitoring tools (Grafana, Data Dog, Splunk, Prometheus, ELK, etc.).\n",
      "• Strong system administration in Linux (w/ Windows a bonus).\n",
      "• Strong desire to learn and grow on the job.\n",
      "\n",
      "Preferred qualifications:\n",
      "• Strong Experience with Conan Package Manager.\n",
      "• Experience with a compiled programming language (e.g. C, C++, Rust, Go) in a production environment.\n",
      "• Experience with Hardware in the Loop build/deploy/test systems.\n",
      "• Experience owning build infrastructure.\n",
      "• Experience with NVIDIA® Jetson products.\n",
      "\n",
      "$155,000 - $232,000 a year\n",
      "\n",
      "#LI-JM2\n",
      "\n",
      "#LC\n",
      "\n",
      "Total package details:\n",
      "\n",
      "Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity\n",
      "\n",
      "Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days of employment)\n",
      "• Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity\n",
      "\n",
      "Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background check.\n",
      "\n",
      "If you're interested in being part of our team, apply now!\n",
      "\n",
      "Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.\n",
      "-------------------------\n",
      "Gray Analytics was founded in 2018 with a vision to bring innovative and creative solutions in the cybersecurity, IT, engineering, and scientific spheres. Our customers span across the commercial and federal domains with our goal being to bring excellent customer service to our clients and employees.\n",
      "\n",
      "Without the bureaucracy that often exists in larger corporations, Gray Analytics offers increased work flexibility, visibility in company progress, and greater opportunities for advancement. It's with our employees' support that we can help our clients achieve mission and operational success.\n",
      "\n",
      "At Gray Analytics, our goal is simple: to help our country, its businesses, and its organizations improve security in the Cyber realm. Period.\n",
      "\n",
      "Location: Redstone Arsenal, AL\n",
      "\n",
      "Status: Full-time exempt\n",
      "• *This role is contingent upon contract award**\n",
      "\n",
      "What You'll Be Doing:\n",
      "\n",
      "Providing expert engineering and/or scientific solutions for highly complex software applications that may require Artificial Intelligence (Rule Based) implementations. Designing, developing, and implementing complex hardware, software, and database applications or advanced techniques in investigating solutions to system requirements and problems.\n",
      "\n",
      "Must Haves:\n",
      "• Experience and skills for the development of applications that are Business Rule driven applications and are required to perform Best Case Scenarios, and applications that are required to provide inconsistencies and/or optimized scheduling of resources in a very dynamic CONOPS.\n",
      "• Experience in the development of robust Optimization Engines and optimization algorithm implementations into large scale software packages.\n",
      "• Level I Requirements:\n",
      "• 0-10 years of experience\n",
      "• Level II Requirements:\n",
      "• 10-14 years of experience.\n",
      "• Level III Requirements:\n",
      "• 15+ years of experience.\n",
      "\n",
      "Security Requirements:\n",
      "\n",
      "An Active Secret Clearance is required in order to be considered.\n",
      "\n",
      "About Gray Analytics\n",
      "\n",
      "Gray Analytics values our employees as our most important resource. To showcase these values, we offer not only traditional medical, disability, life, etc. coverages that begin on day one of employment, but also unique benefits to improve our employees' quality of life. Some of these unique benefits include:\n",
      "• A PTO policy based on total years of experience, not years of service to the company. PTO is available for use immediately at hire, subject to company needs.\n",
      "• Eligibility for 401K contributions and company matching, Pet Insurance through Spot, Flexible Spending Account, and Tuition and Professional Development Funds begin on day one of employment.\n",
      "• Charitable donations program on a yearly and quarterly basis where employees can nominate a non-profit of choice to receive donations.\n",
      "\n",
      "Gray Analytics is an Equal Opportunity Employer and VEVRAA Federal Contractor. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, gender identity, sexual orientation, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability. Gray Analytics, Inc. welcomes minority and veteran applicants.\n",
      "-------------------------\n",
      "Job Title: Machine Learning Engineer/AI Engineer\n",
      "Duration: 8 months Contract\n",
      "Location: San Francisco, CA - 94111\n",
      "\n",
      "Responsibilities:\n",
      "• Hands on experience in Azure cloud Technology and definitely very good hands on experience in Terraform .\n",
      "• Design and implement monitoring and alerting strategies to enforce application SLAs\n",
      "• Develop, test, and debug automated tasks (Apps, Systems, Infrastructure)\n",
      "• Troubleshoot priority incidents, facilitate blameless post-mortems\n",
      "• Work with development teams throughout the software life cycle ensuring sustainable software releases\n",
      "• Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions\n",
      "• Design, write and build tools to improve the reliability, latency, availability and scalability of Client UDAIP next generation cloud platform\n",
      "• Define, drive adoption and enforcement of service level objectives at both service and experience levels\n",
      "• Influence, design and create new architectures, standards and methods for large-scale enterprise systems\n",
      "• Build and drive adoption for greater self-healing and resiliency patterns\n",
      "• Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands\n",
      "• Experience in managing and scaling distributed systems in a public, private, or hybrid cloud environment\n",
      "• Advise design reviews, operational reviews, and the deployment of highly available infrastructure.\n",
      "• Make monitoring and alerting meaningful to support our uptime goals.\n",
      "• Operate and maintain infrastructure in multiple public clouds especially Azure Cloud\n",
      "• Experience with deploying, supporting and monitoring new and existing services, platforms, and application stacks\n",
      "• Experience with scale testing, disaster recovery, and capacity planning\n",
      "• Cloud operations experience in a large scale 24x7 production environment.\n",
      "• Manage, innovate and create programs, new software, analytics that drive improvements to the availability, scalability, latency, and efficiency of Client Applications and services.\n",
      "• Is responsible for developing, implementing and maintaining knowledge-based or artificial intelligence application systems. The individual should ensure that information is converted into a format that is digestible and easy for end users to access the information and utilize it optimally.\n",
      "\n",
      "Essential Functions:\n",
      "• Designs and writes complex code in several languages relevant to our existing product stack, with a focus on automation\n",
      "• Configures, tunes, maintains and installs applications systems and validates system functionality\n",
      "• Monitors and fine tunes applications system to achieve optimum performance levels and works with hardware teams to resolve issues with hardware and software\n",
      "• Develops and maintains department's knowledge database containing enterprise issues and possible resolutions.\n",
      "• Develops models of task problem domain for which a system will be designed or built.\n",
      "• Uses models, hypotheses, and cognitive analysis techniques to elicit real problem-solving knowledge from the experts\n",
      "• Mediates between the expert and knowledge base; encodes for the knowledge base\n",
      "• Acts as subject matter expert for difficult or complex application problems requiring interpretation of AI tools and principles\n",
      "• Researches and prepares reports and studies on various aspects of knowledge acquisition, modeling, management, and presentation\n",
      "• Develops and maintains processes, procedures, models, and templates for collecting and organizing knowledge into specialized knowledge representation programs\n",
      "• Acts as vendor liaison for products and services to support development tools\n",
      "• Maintains the definition, documentation, training, testing, and activation of Disaster Recovery/Business Continuity Planning to meet compliance standards\n",
      "• Maintains a comprehensive operating system hardware and software configuration database/library of all supporting documentation to ensure data integrity\n",
      "• Acts to improve the overall reliability of systems and to increase efficiency\n",
      "• Works collaboratively with cross functional teams, using Agile / DevOps principles to bring products to life, achieve business objectives and serve customer needs\n",
      "-------------------------\n",
      "JOB LEVEL\n",
      "M60/P60\n",
      "\n",
      "EMPLOYEE ROLE\n",
      "People Manager\n",
      "\n",
      "The Opportunity\n",
      "\n",
      "At Adobe, we are applying cutting edge AI to reimagine document experiences and transform knowledge work. We are building Generative AI experiences for document comprehension, creation and workflows. We are looking for an exceptional leader to shape our strategy across various areas, including LLMs, Conversational Experiences, and large-scale experimentation.\n",
      "\n",
      "What You’ll Do\n",
      "• Layout a multi-horizon strategy to guide our research and development efforts based on the latest and greatest in Generative AI. Iterate on this strategy as the field evolves and new barriers are breached.\n",
      "• Collaborate with Product Management to bring AI based Assistive experiences to life. Socialize what’s possible now or in near future to inform the roadmap.\n",
      "• Be a bridge between Adobe’s research labs, product management and engineering teams to align and amplify their efforts.\n",
      "• Hire and lead a diverse team of world-class ML scientists and engineers while being responsible for driving all aspects of ML product development: ML modeling, data/ML pipelines, quality evaluations, productization, and ML Ops.\n",
      "• Create and instill a team culture that focuses on sound scientific processes and encourages deep engagement with our customers.​\n",
      "• Handle project scope and risks with data, analytics and creative problem solving.\n",
      "\n",
      "What You Need to Succeed\n",
      "• A minimum of ten years of technical leadership experience in applying modern AI/ML techniques to build ML features/products.\n",
      "• Experience with LLMs and Generative AI is a plus.\n",
      "• Proven management experience with highly diverse and global teams.\n",
      "• Demonstrated ability to influence technical and non-technical stakeholders.\n",
      "• Proven ability to effectively manage in a high growth, matrixed organization.\n",
      "• Track record of delivering high quality, industry leading products on time.\n",
      "• Track record of delivering cloud-scale, data-driven products and services that are widely adopted with large customer bases.\n",
      "• An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road.\n",
      "• A relentless pursuit of great customer experiences and continuous improvements to the product.\n",
      "\n",
      "Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $174,100 -- $346,800 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.\n",
      "\n",
      "At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).\n",
      "\n",
      "In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.\n",
      "\n",
      "Internal Opportunities\n",
      "\n",
      "Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!\n",
      "\n",
      "Put your best foot forward:\n",
      "\n",
      "1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.\n",
      "\n",
      "2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.\n",
      "\n",
      "3. Check out these tips to help you prep for interviews.\n",
      "\n",
      "4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.\n",
      "\n",
      "Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.\n",
      "\n",
      "At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.\n",
      "\n",
      "Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.\n",
      "\n",
      "If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact accommodations@adobe.com.\n",
      "-------------------------\n",
      "NVIDIA, a trailblazer in computer graphics, PC gaming, and accelerated computing, is actively seeking an experienced Engineering Manager to join our dynamic team. With a rich legacy of innovation spanning over 25 years, we stand at the forefront of using AI to shape the future of computing. As an Engineering Manager at NVIDIA, you will play a pivotal role in leading and inspiring a team of dedicated engineers to solve complex challenges.\n",
      "\n",
      "In this role, you will be a key influencer in NVIDIA's Enterprise AI & Automation, focusing on driving world-class AI engineering solutions that enhance employee experience, boost business productivity, and improve operational efficiency. Our team is actively involved in developing cutting-edge technologies, particularly in the realm of generative AI platforms and applications, utilizing state-of-the-art technologies such as Retrieval-Augmented Generation (RAG) and Large Language Model (LLM).\n",
      "\n",
      "What you'll be doing:\n",
      "• Drive the design and development of a generative AI platform capable of scaling to various enterprise use cases.\n",
      "• Lead and mentor a team of skilled system and ML engineers, fostering a culture of innovation and excellence in engineering practices.\n",
      "• Collaborate with cross-functional teams to identify and implement initiatives that enhance business processes and efficiency.\n",
      "• Drive the development and deployment of engineering solutions, ensuring they meet high-quality standards and are delivered in a timely manner.\n",
      "• Contribute to the technical vision and execute on a strategic roadmap to advance AI engineering innovation within the organization.\n",
      "\n",
      "What we need to see:\n",
      "• MS degree in computer science, engineering, or a related technical field (or equivalent experience).\n",
      "• 8+ years of work-related experience in software development with proficiency in Python programming with 3+ years leadership.\n",
      "• Demonstrable experience in leading engineering members, as a tech leader or manager.\n",
      "• Strong background in modular software design, containers, and libraries.\n",
      "• Proven experience in delivering engineering solutions using Agile methodology.\n",
      "\n",
      "Ways to stand out from the crowd:\n",
      "• Experience in constructing a robust AI related platform adaptable to various use cases.\n",
      "• Expertise in engineering with a focus on delivering high-quality, scalable solutions.\n",
      "• Familiarity with modern engineering practices, including DevOps, CI/CD pipelines, and container orchestration.\n",
      "• Strong leadership and communication skills, with a track record of building and leading successful engineering teams.\n",
      "\n",
      "With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers! NVIDIA is renowned for its innovative and collaborative work environment. If you are a creative and driven individual who thrives in a meaningful and dynamic setting, we invite you to apply today!\n",
      "\n",
      "The base salary range is 168,000 USD - 322,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.\n",
      "\n",
      "You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.\n",
      "\n",
      "NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.\n",
      "-------------------------\n",
      "Who is Recruiting from Scratch :\n",
      "\n",
      "Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.\n",
      "\n",
      "Our Client:\n",
      "\n",
      "Our client is at the forefront at revolutionizing computing with our cutting-edge decentralized platform. Our mission is to deliver unparalleled high-performance services with heterogeneous trust to anyone worldwide. Their platform is uniquely designed to support services with diverse requirements in terms of performance demand, trust model, and fault tolerance. Currently, their focus is on launching our first use cases: a decentralized AI inference service that leverages globally contributed GPUs, and an advanced web3 social app, both seamlessly integrated with our expansive internet-scale mesh network.\n",
      "\n",
      "The company is led by co-founders with PhDs in AI, Blockchain, Math and Systems, is ready to redefine computing. They are currently seed stage.\n",
      "\n",
      "Location: Hybrid in San Francisco Bay Area\n",
      "\n",
      "About The Role:\n",
      "\n",
      "They are on the lookout for a Founding AI Engineer to join us in shaping the future of decentralized AI. In this crucial role, you'll work alongside the co-founders to architect and develop a decentralized AI platform. This platform will empower anyone with GPU capabilities to contribute to AI inference and fine-tuning, catering to a diverse range of applications.\n",
      "\n",
      "Who You Are:\n",
      "\n",
      "You are the ideal candidate if you:\n",
      "• Have a strong foundation in software engineering and a history of leading or significantly contributing to machine learning system projects.\n",
      "• Have worked on distributed inference/fine-tuning for LLMs and diffusion models\n",
      "• Have practical skills in training, fine-tuning, and deploying neural networks.\n",
      "• Understand ML performance profiling and optimization, including graph-level optimizations.\n",
      "• Are familiar with common neural network architectures and operators.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Experience with or willingness to learn Rust.\n",
      "• Knowledge of ML compilers, with TVM experience being a significant advantage.\n",
      "• Experience with GPU kernels, CUDA, NCCL, Pytorch, Tensorflow.\n",
      "• Understanding P2P networks or worked with distributed cloud services and microservices\n",
      "\n",
      "Our Client:\n",
      "\n",
      "Redefining Trust in Decentralization: The traditional belief that trust in decentralization hinges solely on consensus/blockchain is evolving. While this method provides strong transaction security, it's not suited for applications requiring low latency and high performance, like AI, streaming, or gaming.\n",
      "\n",
      "Revolutionizing Decentralized Systems: At its core, the platform is designed with innovation as a two-layer architecture. The first layer is an Internet-scale mesh network that delivers data with high speed, utilizing a smart routing protocol. The second layer consists of a dynamic set of nodes in the network that render services following our innovative Invoke-Return-Combine paradigm. This architecture enables developers to create their services using a familiar client-server model, serving millions of clients without concerns about the decentralized nature.\n",
      "\n",
      "Pioneering Decentralized AI: Their first product is a decentralized AI service pipeline, marks the start of our transformative journey. This innovation is our response to pressing industry challenges like the GPU shortage and the high costs associated with extensive AI systems. Our focus is on delivering scalable, cost-effective, and reliable AI solutions that empower users with true ownership and control. This approach is not just a step forward in AI technology; it's a leap towards user-centric, democratized AI.\n",
      "\n",
      "Collaborative and Visionary Culture: Our client is where collaboration meets innovation. We're not just a team; we're a collective of thinkers, creators, and visionaries. Our culture is built on the belief that every team member brings unique ideas and expertise to the table.\n",
      "\n",
      "The salary range is $140,000 - $200,000\n",
      "-------------------------\n",
      "Senior Generative AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "This position is for a Lead Engineer in Generative AI Product Engineering at Capital One. The successful candidate will be in charge of developing and maintaining APIs and SDKs that are used to train, fine-tune, and access AI models on a larger scale. The candidate will work alongside a team of ingenious AI engineers and researchers that aim to develop and execute key API products and services necessary for speedy solutions in customer-facing applications.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Create, build, and release necessary APIs and software development kits that enable users to utilize Large-Language Models (LLMs) and unique Foundation Models (FMs) for tasks such as training, fine-tuning, and prompting.\n",
      "• Real-time APIs can benefit from the use of websockets, which enable bi-directional communication between clients and servers in real time.\n",
      "• Leverage the power of LLMs and FMs to create interfaces that are tailored to the unique requirements of different applications, ultimately enhancing the customer experience.\n",
      "• Allow users to develop advanced Generative AI capabilities.\n",
      "• Developing efficient monitoring systems to keep track of the API usage metrics and the operational state can contribute to successful management of operations.\n",
      "• Employ AI safety measures to address risks and prevent unwanted outcomes in the API layer.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A bachelor’s degree in Computer Science, Computer Engineering, or a related technical field is an essential requirement to apply for this position.\n",
      "• The role calls for a record of at least 6 years in creating and building data-intensive solutions utilizing distributed computing and cache optimization approaches.\n",
      "• Knowledge of Python, Scala, Java, or Go programming with at least 6 years of experience is an imperative factor for the ideal candidate.\n",
      "• To be considered for this role, the applicant must have a proven track record of creating, scaling, and optimizing training or inferencing systems for deep neural networks for one year or more.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Candidates must have vast knowledge of building and scaling NLP, speech, computer vision, or recommendation systems designed for massive audiences served by AI products or platforms.\n",
      "• Being able to perform well in a fast-moving workplace with multiple priorities and unclear outcomes by remaining calm and focused.\n",
      "• Experience in tech and innovation-centered firms is preferred by employers.\n",
      "• Acquaintance with strategically implementing and deploying massive neural network models in demanding production environments.\n",
      "• Knowledge of cloud computing providers and cloud architecture such as AWS, Google Cloud, and Azure, and the cloud security and resilience techniques to ensure the security of the cloud architecture and network infrastructure.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Employees who receive a performance-based incentive compensation package, which includes financial bonuses and other non-monetary benefits, are more likely to be motivated to perform their duties efficiently and effectively.\n",
      "• A complete benefits package that aims to support employees' physical, emotional, and financial wellness.\n",
      "• The company fosters a supportive environment that is conducive to professional growth and development.\n",
      "• Cultivate growth both in work and personal areas in a supportive and inclusive workplace environment.\n",
      "\n",
      "About Company:\n",
      "\n",
      "By leveraging paradigm-shifting AI technologies and effective machine learning algorithms, we're revolutionizing the banking industry for the betterment of our customers.\n",
      "-------------------------\n",
      "Who is Recruiting from Scratch :\n",
      "\n",
      "Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.\n",
      "\n",
      "Our Client:\n",
      "\n",
      "Our client is at the forefront at revolutionizing computing with our cutting-edge decentralized platform. Our mission is to deliver unparalleled high-performance services with heterogeneous trust to anyone worldwide. Their platform is uniquely designed to support services with diverse requirements in terms of performance demand, trust model, and fault tolerance. Currently, their focus is on launching our first use cases: a decentralized AI inference service that leverages globally contributed GPUs, and an advanced web3 social app, both seamlessly integrated with our expansive internet-scale mesh network.\n",
      "\n",
      "The company is led by co-founders with PhDs in AI, Blockchain, Math and Systems, is ready to redefine computing. They are currently seed stage.\n",
      "\n",
      "Location: Hybrid in San Francisco Bay Area\n",
      "\n",
      "About The Role:\n",
      "\n",
      "They are on the lookout for a Founding AI Engineer to join us in shaping the future of decentralized AI. In this crucial role, you'll work alongside the co-founders to architect and develop a decentralized AI platform. This platform will empower anyone with GPU capabilities to contribute to AI inference and fine-tuning, catering to a diverse range of applications.\n",
      "\n",
      "Who You Are:\n",
      "\n",
      "You are the ideal candidate if you:\n",
      "• Have a strong foundation in software engineering and a history of leading or significantly contributing to machine learning system projects.\n",
      "• Have worked on distributed inference/fine-tuning for LLMs and diffusion models\n",
      "• Have practical skills in training, fine-tuning, and deploying neural networks.\n",
      "• Understand ML performance profiling and optimization, including graph-level optimizations.\n",
      "• Are familiar with common neural network architectures and operators.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Experience with or willingness to learn Rust.\n",
      "• Knowledge of ML compilers, with TVM experience being a significant advantage.\n",
      "• Experience with GPU kernels, CUDA, NCCL, Pytorch, Tensorflow.\n",
      "• Understanding P2P networks or worked with distributed cloud services and microservices\n",
      "\n",
      "Our Client:\n",
      "\n",
      "Redefining Trust in Decentralization: The traditional belief that trust in decentralization hinges solely on consensus/blockchain is evolving. While this method provides strong transaction security, it's not suited for applications requiring low latency and high performance, like AI, streaming, or gaming.\n",
      "\n",
      "Revolutionizing Decentralized Systems: At its core, the platform is designed with innovation as a two-layer architecture. The first layer is an Internet-scale mesh network that delivers data with high speed, utilizing a smart routing protocol. The second layer consists of a dynamic set of nodes in the network that render services following our innovative Invoke-Return-Combine paradigm. This architecture enables developers to create their services using a familiar client-server model, serving millions of clients without concerns about the decentralized nature.\n",
      "\n",
      "Pioneering Decentralized AI: Their first product is a decentralized AI service pipeline, marks the start of our transformative journey. This innovation is our response to pressing industry challenges like the GPU shortage and the high costs associated with extensive AI systems. Our focus is on delivering scalable, cost-effective, and reliable AI solutions that empower users with true ownership and control. This approach is not just a step forward in AI technology; it's a leap towards user-centric, democratized AI.\n",
      "\n",
      "Collaborative and Visionary Culture: Our client is where collaboration meets innovation. We're not just a team; we're a collective of thinkers, creators, and visionaries. Our culture is built on the belief that every team member brings unique ideas and expertise to the table.\n",
      "\n",
      "The salary range is $140,000 - $200,000\n",
      "-------------------------\n",
      "Who is Recruiting from Scratch :\n",
      "\n",
      "Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.\n",
      "\n",
      "Our Client:\n",
      "\n",
      "Our client is at the forefront at revolutionizing computing with our cutting-edge decentralized platform. Our mission is to deliver unparalleled high-performance services with heterogeneous trust to anyone worldwide. Their platform is uniquely designed to support services with diverse requirements in terms of performance demand, trust model, and fault tolerance. Currently, their focus is on launching our first use cases: a decentralized AI inference service that leverages globally contributed GPUs, and an advanced web3 social app, both seamlessly integrated with our expansive internet-scale mesh network.\n",
      "\n",
      "The company is led by co-founders with PhDs in AI, Blockchain, Math and Systems, is ready to redefine computing. They are currently seed stage.\n",
      "\n",
      "Location: Hybrid in San Francisco Bay Area\n",
      "\n",
      "About The Role:\n",
      "\n",
      "They are on the lookout for a Founding AI Engineer to join us in shaping the future of decentralized AI. In this crucial role, you'll work alongside the co-founders to architect and develop a decentralized AI platform. This platform will empower anyone with GPU capabilities to contribute to AI inference and fine-tuning, catering to a diverse range of applications.\n",
      "\n",
      "Who You Are:\n",
      "\n",
      "You are the ideal candidate if you:\n",
      "• Have a strong foundation in software engineering and a history of leading or significantly contributing to machine learning system projects.\n",
      "• Have worked on distributed inference/fine-tuning for LLMs and diffusion models\n",
      "• Have practical skills in training, fine-tuning, and deploying neural networks.\n",
      "• Understand ML performance profiling and optimization, including graph-level optimizations.\n",
      "• Are familiar with common neural network architectures and operators.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Experience with or willingness to learn Rust.\n",
      "• Knowledge of ML compilers, with TVM experience being a significant advantage.\n",
      "• Experience with GPU kernels, CUDA, NCCL, Pytorch, Tensorflow.\n",
      "• Understanding P2P networks or worked with distributed cloud services and microservices\n",
      "\n",
      "Our Client:\n",
      "\n",
      "Redefining Trust in Decentralization: The traditional belief that trust in decentralization hinges solely on consensus/blockchain is evolving. While this method provides strong transaction security, it's not suited for applications requiring low latency and high performance, like AI, streaming, or gaming.\n",
      "\n",
      "Revolutionizing Decentralized Systems: At its core, the platform is designed with innovation as a two-layer architecture. The first layer is an Internet-scale mesh network that delivers data with high speed, utilizing a smart routing protocol. The second layer consists of a dynamic set of nodes in the network that render services following our innovative Invoke-Return-Combine paradigm. This architecture enables developers to create their services using a familiar client-server model, serving millions of clients without concerns about the decentralized nature.\n",
      "\n",
      "Pioneering Decentralized AI: Their first product is a decentralized AI service pipeline, marks the start of our transformative journey. This innovation is our response to pressing industry challenges like the GPU shortage and the high costs associated with extensive AI systems. Our focus is on delivering scalable, cost-effective, and reliable AI solutions that empower users with true ownership and control. This approach is not just a step forward in AI technology; it's a leap towards user-centric, democratized AI.\n",
      "\n",
      "Collaborative and Visionary Culture: Our client is where collaboration meets innovation. We're not just a team; we're a collective of thinkers, creators, and visionaries. Our culture is built on the belief that every team member brings unique ideas and expertise to the table.\n",
      "\n",
      "The salary range is $140,000 - $200,000\n",
      "-------------------------\n",
      "Chief AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "If you want to partake in shaping Capital One's AI capabilities, we require a Lead Generative AI Infrastructure Engineer to join our team. This role will involve several interventions, such as instituting extensive, distributed training clusters, mounting Large-Language Models (LLMs) on GPU instances to be deployed in real-time operations, and rendering active support for advanced AI research and development. The optimal candidate must establish a close collaboration with cloud and container infrastructure teams, including AI researchers, to realize essential functionalities.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• For efficient large-scale computations, it is crucial to deploy distributed training clusters in the public cloud with an optimized storage and networking stack.\n",
      "• Incorporate strategies that allow distributed systems to perform long-running training experiments even in the presence of failures. One effective strategy is to use load-balancing schedulers with a check-pointing library to enable the resumption of the job at a precise point after a node failure.\n",
      "• The purpose is to establish a robust framework that supports efficient, scalable, and cost-effective delivery of LLMs and Foundation Models in cloud environments.\n",
      "• Design a flexible and customizable environment for implementing search indexes and embeddings in vector databases to address the unique needs of individual users.\n",
      "• Collaborate with AI researchers and cloud and container infrastructure groups to develop and execute essential functionalities.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical field degree such as Computer Science or Computer Engineering is required for a Bachelor's program.\n",
      "• It is essential to have at least six years of experience designing and constructing distributed computing solutions for handling high volumes of data.\n",
      "• A minimum of six years of coding experience using Python, Go, Scala, or Java is required.\n",
      "• This job opening requires applicants to have one year or more of experience with High-Performance Computing (HPC), vector embedding, or semantic search technologies.\n",
      "• One must possess at least a year's worth of experience in constructing, scaling, and refining training or inferencing systems for deep neural networks.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• The eligibility criteria for this position requires candidates to have completed a graduate degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or an equivalent subject.\n",
      "• Skilled in advanced machine learning techniques, with hands-on experience in deploying large-scale deep neural networks and transformer models in production systems.\n",
      "• Keeping up with the latest advancements in AI requires mastery of machine learning frameworks, including TensorFlow, PyTorch, Lightning, or Mosaic ML.\n",
      "• Agility to adapt and perform effectively in an ambivalent and rapidly changing environment with competing demands and due dates.\n",
      "• Individuals who have worked in technology-driven companies and startups are preferred candidates.\n",
      "• Knowledgeable in deploying intricate neural networks in challenging production environments.\n",
      "• A seasoned expert in the realm of creating GPU clusters in the public cloud, particularly in the area of closely-integrated storage and networking functions.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Reward systems that are based on performance and include monetary incentives, such as cash bonuses and long-term incentives, are known as performance-based incentive compensation.\n",
      "• Supporting the complete wellness of individuals, through a range of benefits covering health, finances, and more.\n",
      "• One of the benefits of working at Capital One is the variety of career paths available for employees, allowing for personal and professional growth.\n",
      "• Creating a supportive and inclusive work environment that enables individuals to grow personally and professionally.\n",
      "\n",
      "About Company:\n",
      "\n",
      "Capital One is committed to creating trustworthy and reliable AI systems that incorporate human input to revolutionize and evolve banking services. Our mission is to incorporate machine learning and AI technology to design automated and intelligent customer services in real-time. Partner with us and help shape the future of banking service delivery for businesses and individuals.\n",
      "-------------------------\n",
      "Locations: NY - New York, United States of America, New York, New York\n",
      "Distinguished Engineer, Generative AI Systems (Remote-Eligible)\n",
      "Distinguished Engineer, Generative AI Systems\n",
      "Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.\n",
      "We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include:\n",
      "• Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries.\n",
      "• Design and build infrastructure for serving large ML models, in our public cloud.\n",
      "• Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud.\n",
      "• Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection\n",
      "• Develop applications that leverage LLMs and FMs.\n",
      "• Design and implement capabilities to support MLOps for foundation models.\n",
      "\n",
      "Capital One is open to hiring a Remote Employee for this opportunity\n",
      "Basic Qualifications:\n",
      "• Bachelor's degree in Computer Science, Computer Engineering or a technical field\n",
      "• At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems\n",
      "• At least 5 years of experience developing AI and ML algorithms in Python or C/C++\n",
      "• At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.\n",
      "• Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.\n",
      "• Experience architecting cloud systems for security, availability, performance, scalability, and cost.\n",
      "• Experience with delivering very large models through the MLOps life cycle from exploration to serving.\n",
      "• Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking.\n",
      "• Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.\n",
      "• Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.\n",
      "• Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML.\n",
      "\n",
      "Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.\n",
      "The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.\n",
      "New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer\n",
      "San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer\n",
      "Remote (Regardless of Location): $232,900 - $265,800 for Distinguished Machine Learning Engineer\n",
      "Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.\n",
      "This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n",
      "Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.\n",
      "This role is expected to accept applications for a minimum of 5 business days.\n",
      "No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n",
      "If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.\n",
      "For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com\n",
      "Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.\n",
      "Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).\n",
      "-------------------------\n",
      "Who is Recruiting from Scratch :\n",
      "\n",
      "Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.\n",
      "\n",
      "Our Client:\n",
      "\n",
      "Our client is at the forefront at revolutionizing computing with our cutting-edge decentralized platform. Our mission is to deliver unparalleled high-performance services with heterogeneous trust to anyone worldwide. Their platform is uniquely designed to support services with diverse requirements in terms of performance demand, trust model, and fault tolerance. Currently, their focus is on launching our first use cases: a decentralized AI inference service that leverages globally contributed GPUs, and an advanced web3 social app, both seamlessly integrated with our expansive internet-scale mesh network.\n",
      "\n",
      "The company is led by co-founders with PhDs in AI, Blockchain, Math and Systems, is ready to redefine computing. They are currently seed stage.\n",
      "\n",
      "Location: Hybrid in San Francisco Bay Area\n",
      "\n",
      "About The Role:\n",
      "\n",
      "They are on the lookout for a Founding AI Engineer to join us in shaping the future of decentralized AI. In this crucial role, you'll work alongside the co-founders to architect and develop a decentralized AI platform. This platform will empower anyone with GPU capabilities to contribute to AI inference and fine-tuning, catering to a diverse range of applications.\n",
      "\n",
      "Who You Are:\n",
      "\n",
      "You are the ideal candidate if you:\n",
      "• Have a strong foundation in software engineering and a history of leading or significantly contributing to machine learning system projects.\n",
      "• Have worked on distributed inference/fine-tuning for LLMs and diffusion models\n",
      "• Have practical skills in training, fine-tuning, and deploying neural networks.\n",
      "• Understand ML performance profiling and optimization, including graph-level optimizations.\n",
      "• Are familiar with common neural network architectures and operators.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Experience with or willingness to learn Rust.\n",
      "• Knowledge of ML compilers, with TVM experience being a significant advantage.\n",
      "• Experience with GPU kernels, CUDA, NCCL, Pytorch, Tensorflow.\n",
      "• Understanding P2P networks or worked with distributed cloud services and microservices\n",
      "\n",
      "Our Client:\n",
      "\n",
      "Redefining Trust in Decentralization: The traditional belief that trust in decentralization hinges solely on consensus/blockchain is evolving. While this method provides strong transaction security, it's not suited for applications requiring low latency and high performance, like AI, streaming, or gaming.\n",
      "\n",
      "Revolutionizing Decentralized Systems: At its core, the platform is designed with innovation as a two-layer architecture. The first layer is an Internet-scale mesh network that delivers data with high speed, utilizing a smart routing protocol. The second layer consists of a dynamic set of nodes in the network that render services following our innovative Invoke-Return-Combine paradigm. This architecture enables developers to create their services using a familiar client-server model, serving millions of clients without concerns about the decentralized nature.\n",
      "\n",
      "Pioneering Decentralized AI: Their first product is a decentralized AI service pipeline, marks the start of our transformative journey. This innovation is our response to pressing industry challenges like the GPU shortage and the high costs associated with extensive AI systems. Our focus is on delivering scalable, cost-effective, and reliable AI solutions that empower users with true ownership and control. This approach is not just a step forward in AI technology; it's a leap towards user-centric, democratized AI.\n",
      "\n",
      "Collaborative and Visionary Culture: Our client is where collaboration meets innovation. We're not just a team; we're a collective of thinkers, creators, and visionaries. Our culture is built on the belief that every team member brings unique ideas and expertise to the table.\n",
      "\n",
      "The salary range is $140,000 - $200,000\n",
      "-------------------------\n",
      "Senior Generative AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "This position is for a Lead Engineer in Generative AI Product Engineering at Capital One. The successful candidate will be in charge of developing and maintaining APIs and SDKs that are used to train, fine-tune, and access AI models on a larger scale. The candidate will work alongside a team of ingenious AI engineers and researchers that aim to develop and execute key API products and services necessary for speedy solutions in customer-facing applications.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Create, build, and release necessary APIs and software development kits that enable users to utilize Large-Language Models (LLMs) and unique Foundation Models (FMs) for tasks such as training, fine-tuning, and prompting.\n",
      "• Real-time APIs can benefit from the use of websockets, which enable bi-directional communication between clients and servers in real time.\n",
      "• Leverage the power of LLMs and FMs to create interfaces that are tailored to the unique requirements of different applications, ultimately enhancing the customer experience.\n",
      "• Allow users to develop advanced Generative AI capabilities.\n",
      "• Developing efficient monitoring systems to keep track of the API usage metrics and the operational state can contribute to successful management of operations.\n",
      "• Employ AI safety measures to address risks and prevent unwanted outcomes in the API layer.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A bachelor’s degree in Computer Science, Computer Engineering, or a related technical field is an essential requirement to apply for this position.\n",
      "• The role calls for a record of at least 6 years in creating and building data-intensive solutions utilizing distributed computing and cache optimization approaches.\n",
      "• Knowledge of Python, Scala, Java, or Go programming with at least 6 years of experience is an imperative factor for the ideal candidate.\n",
      "• To be considered for this role, the applicant must have a proven track record of creating, scaling, and optimizing training or inferencing systems for deep neural networks for one year or more.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Candidates must have vast knowledge of building and scaling NLP, speech, computer vision, or recommendation systems designed for massive audiences served by AI products or platforms.\n",
      "• Being able to perform well in a fast-moving workplace with multiple priorities and unclear outcomes by remaining calm and focused.\n",
      "• Experience in tech and innovation-centered firms is preferred by employers.\n",
      "• Acquaintance with strategically implementing and deploying massive neural network models in demanding production environments.\n",
      "• Knowledge of cloud computing providers and cloud architecture such as AWS, Google Cloud, and Azure, and the cloud security and resilience techniques to ensure the security of the cloud architecture and network infrastructure.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Employees who receive a performance-based incentive compensation package, which includes financial bonuses and other non-monetary benefits, are more likely to be motivated to perform their duties efficiently and effectively.\n",
      "• A complete benefits package that aims to support employees' physical, emotional, and financial wellness.\n",
      "• The company fosters a supportive environment that is conducive to professional growth and development.\n",
      "• Cultivate growth both in work and personal areas in a supportive and inclusive workplace environment.\n",
      "\n",
      "About Company:\n",
      "\n",
      "By leveraging paradigm-shifting AI technologies and effective machine learning algorithms, we're revolutionizing the banking industry for the betterment of our customers.\n",
      "-------------------------\n",
      "The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.\n",
      "\n",
      "SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.\n",
      "\n",
      "Working at SambaNova\n",
      "\n",
      "SambaNova Systems in hiring a Principal Solution AI Engineer. This role offers an unparalleled opportunity to transform cutting-edge AI research into customer-empowering solutions, propelling us towards making a substantial impact across diverse industries. We eagerly welcome individuals with exceptional talent to join us in this transformative journey.\n",
      "\n",
      "Responsibilities\n",
      "• Domain Expertise: Utilize your deep understanding of various industries to identify and address specific problems and opportunities solvable with AI/ML.\n",
      "• Use-Case Analysis: Collaborate with clients and internal teams to analyze real-world use cases and business problems within different domains.\n",
      "• ML Experience: Apply your experience in AI/ML use cases, particularly in NLP and computer vision, to develop solutions that address complex challenges in different domains.\n",
      "• Solution Development: Develop end-to-end (E2E) workflows and starter kits that simplify the deployment and adoption of AI/ML solutions for our clients.\n",
      "• Data Analysis: Analyze and preprocess data relevant to specific industries, ensuring its suitability for AI/ML workflow.\n",
      "• Model Fine-tuning: Fine-tune machine learning models (large language models, vision models) and workflows that are tailored to address industry-specific challenges.\n",
      "• Testing and Validation: Conduct rigorous testing and validation of solutions to ensure their effectiveness in solving industry-specific problems.\n",
      "• Documentation: Maintain comprehensive documentation of the solutions provided, E2E workflows, and starter kits, along with best practices for addressing challenges in various industries.\n",
      "• Continuous Learning: Stay up-to-date with the latest developments in AI/ML and different industries to drive innovation.\n",
      "\n",
      "Basic Qualifications\n",
      "• Bachelor's or Master's degree in a relevant field, such as Computer Science, Engineering, or related disciplines.\n",
      "• 7+ years of proven experience in the AI/ML domain, with a strong track record of solving customer-specific use cases in different domains.\n",
      "\n",
      "Additional Required Qualifications\n",
      "• Extensive experience working across multiple industries, with a solid understanding of industry-specific challenges and opportunities.\n",
      "• Proficiency in AI/ML frameworks and tools (e.g., Langchain, LlamaIndex, PyTorch etc.).\n",
      "• Strong programming skills in Python.\n",
      "• Strong communication and collaboration skills.\n",
      "• Strong data analysis skills.\n",
      "\n",
      "Annual Salary Range and Level\n",
      "\n",
      "The base salary for this position ranges from $180,000/year up to $230,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate’s job-related qualifications, skills, competencies and experience, and location.\n",
      "\n",
      "Benefits Summary For US-Based Full-Time Direct Employment Positions\n",
      "\n",
      "(The Recruiter will provide benefit details for non-US-based roles)\n",
      "\n",
      "SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.\n",
      "\n",
      "Submission Guidelines\n",
      "\n",
      "Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.\n",
      "\n",
      "If you are a new, recent (within the last two years), or upcoming college graduate and are interested in opportunities with SambaNova Systems, please apply through our university job listings.\n",
      "\n",
      "EEO Policy\n",
      "\n",
      "SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.\n",
      "-------------------------\n",
      "Outlier is a forward-thinking software development company that pushes artificial intelligence's boundaries. As a part of their ongoing projects, Outlier is building a cloud-based contact centre powered by artificial intelligence (AI). This innovative contact centre platform seamlessly integrates with customer relationship management (CRM) systems and incorporates a chatbot to deliver real-time support to human agents.\n",
      "\n",
      "Outlier is seeking an AI Chatbot Prompt Engineer & Writer to play a vital role in training our chatbots. The selected individual will actively engage in conversations and develop interactions to improve the chatbot's conversational capabilities. This position offers an exciting prospect to contribute to advancing AI technology while enjoying the benefits of remote work and a flexible schedule.\n",
      "\n",
      "RESPONSIBILITIES\n",
      "• Generate diverse and engaging conversations to train AI chatbots.\n",
      "• Craft high-quality responses to improve chatbot performance.\n",
      "• Compare and evaluate the performance of different AI models.\n",
      "• Conduct research and fact-check AI responses to ensure accuracy and originality.\n",
      "REQUIREMENTS\n",
      "• Fluent in English, with excellent writing and grammar skills.\n",
      "• Strong attention to detail and ability to create valuable and compelling conversations.\n",
      "• Proficient in conducting research and fact-checking to ensure the quality of AI responses.\n",
      "\n",
      "Powered by JazzHR\n",
      "\n",
      "vL7ywqGmUv\n",
      "-------------------------\n",
      "Job Description\n",
      "\n",
      "Oracle has formed a new organization - Oracle Health Applications & Infrastructure (OHAI), dedicated to product strategy and development for improvement of healthcare using modern cloud native technology build on Oracle Cloud Infrastructure (OCI).\n",
      "\n",
      "One of the focus areas of OHAI is to modernize, improve and reimagine Millennium healthcare platform using AI/ML, specifically generative AI.\n",
      "\n",
      "Millennium applications team in OHAI is responsible for reimagining, conceiving, and enhancing clinical applications using OCI’s cloud native AI/ML infrastructure for patients and clinicians.\n",
      "\n",
      "Why?\n",
      "\n",
      "Oracle Health Applications & Infrastructure is a new line of business that aims to leverage our expertise in IaaS and SaaS to transform the health care industry, provide patient-centric care and make the best clinical tools available around the world ( https://www.oracle.com/industries/healthcare/ ). We are looking for the best and brightest technologists as we build the next generation of Health platform that will change the industry. This is a greenfield effort with an entrepreneurial spirit that promotes energetic and creative environment. We like to move fast and innovate, and we want your help to make it a world class engineering team that makes a large impact.\n",
      "\n",
      "Millennium application team is using generative AI and other AI/ML capabilities such as semantic search and RAG, voice assisted navigation and dictation, text generation, summation to develop next generation of health care clinical applications using cloud native AI services to provide superior patient and clinician experience. Our platform strives to provides consistent customer experience across applications while providing mission critical functions ranging from patient prescriptions to surgery rooms to our customers across the globe. We are expanding our talented team so come join us while we embark on this exciting journey.\n",
      "\n",
      "What?\n",
      "\n",
      "We are seeking hands-on Senior Member of Technical Staff Engineers that share our passion and excitement of operating distributed systems at hyper scale using cloud native best practices. You will have part in the disruption of the health care industry and will help deliver better patient care.\n",
      "\n",
      "As a SMTS engineer in our team, you’ll be responsible and lead efforts in designing and building scalable, distributed, and resilient software components and services to build ML platform, data pipelines, search infrastructure and clinical applications. We believe in ownership and expect you to think long term, mentor, and empower other engineers. As a tech lead you will own the complete SDLC from architecture, development, testing, first class monitoring, to production.\n",
      "\n",
      "Minimum Qualifications\n",
      "\n",
      "· BS or MS degree in computer science, or equivalent\n",
      "\n",
      "· 5+ years of developing and shipping enterprise distributed and/or cloud native systems\n",
      "\n",
      "· Strong grasp of system design fundamentals and distributed systems architectural best practices\n",
      "\n",
      "· Demonstrated ability to write code in Java, Python, or similar OO languages.\n",
      "\n",
      "· Experience with web application development using microservices frameworks such as Helidon, DropWizard, Spring, etc. Experience with building data pipelines, messaging and, scalable streaming services preferred.\n",
      "\n",
      "· Experience with containers and container orchestration technologies (Kubernetes, Docker)\n",
      "\n",
      "· Strong desire to make an impact and thrive in collaborative and energetic environment.\n",
      "\n",
      "· Ability to effectively communicate technical concepts verbally and through design.\n",
      "\n",
      "· Experience with deploying ML models and monitoring tools is desirable.\n",
      "\n",
      "Responsibilities\n",
      "\n",
      "As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.\n",
      "\n",
      "Disclaimer:\n",
      "\n",
      "Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.\n",
      "\n",
      "Range and benefit information provided in this posting are specific to the stated locations only\n",
      "\n",
      "US: Hiring Range: from $74,800 to $178,200 per annum. May be eligible for bonus and equity.\n",
      "\n",
      "Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.\n",
      "\n",
      "Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.\n",
      "\n",
      "Oracle US offers a comprehensive benefits package which includes the following:\n",
      "• Medical, dental, and vision insurance, including expert medical opinion\n",
      "• Short term disability and long term disability\n",
      "• Life insurance and AD&D\n",
      "• Supplemental life insurance (Employee/Spouse/Child)\n",
      "• Health care and dependent care Flexible Spending Accounts\n",
      "• Pre-tax commuter and parking benefits\n",
      "• 401(k) Savings and Investment Plan with company match\n",
      "• Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.\n",
      "• 11 paid holidays\n",
      "• Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.\n",
      "• Paid parental leave\n",
      "• Adoption assistance\n",
      "• Employee Stock Purchase Plan\n",
      "• Financial planning and group legal\n",
      "• Voluntary benefits including auto, homeowner and pet insurance\n",
      "\n",
      "About Us\n",
      "\n",
      "As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.\n",
      "\n",
      "When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.\n",
      "\n",
      "We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.\n",
      "\n",
      "Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.\n",
      "\n",
      "We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.\n",
      "\n",
      "Disclaimer:\n",
      "\n",
      "Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.\n",
      "• Which includes being a United States Affirmative Action Employer\n",
      "-------------------------\n",
      "Description\n",
      "\n",
      "Alvarez & Marsal is a leading independent global professional services firm, specializing in providing turnaround management, performance improvement and corporate advisory services, is seeking to expand its Private Equity Performance Improvement (PEPI) Generative AI team. With more than 7,000 professionals based in 40 locations across North America, Europe, Asia, and Latin America, our firm excels in problem solving and value creation. Drawing on a strong operational heritage and hands on approach, our professionals work closely with organizations and stakeholders to help tackle complex business issues and maximize value.\n",
      "\n",
      "A&M's Private Equity Performance Improvement Services (PEPI) practice, with offices throughout the US, focuses on serving upper middle market and large cap private equity firms who have engaged A&M to help improve operating results at their portfolio companies. The companies we serve are upper middle market in the $50 million to $1 billion plus range.\n",
      "\n",
      "Our PEPI services include:\n",
      "\n",
      "Merger Integration & Carveouts\n",
      "\n",
      "IT pre acquisition diligence\n",
      "\n",
      "IT post acquisition implementations and integration\n",
      "\n",
      "Interim Management\n",
      "\n",
      "CFO Services\n",
      "\n",
      "Commercial Due Diligence/Strategy\n",
      "\n",
      "Rapid Results\n",
      "\n",
      "Supply Chain\n",
      "\n",
      "Private Equity Focused Professionals\n",
      "\n",
      "We're developing a cutting-edge Generative AI tool designed to streamline analysis and research by automating portions of data analysis, identifying opportunities, and facilitating interactive data search. Our platform aims to enhance private equity decision-making through advanced AI techniques, transforming complex use case scenarios into streamlined, insightful processes.\n",
      "\n",
      "We provide private equity buyers with a broad continuum of knowledge and tools for due diligence (IT and operational), merger integration / carveout planning and execution, transition service agreement negotiation & governance, ERP implementations, IT operations & cost reduction, and enterprise architecture. We support full spectrum of the deal lifecycle from pre-deal technology, operational and synergy reviews, through 'Day1' planning, to post deal implementations.\n",
      "\n",
      "By joining our Generative AI team, you will have the opportunity to be at the forefront of Generative AI technology and its application in the private equity industry, working closely with leaders in the field to shape the future of consulting.\n",
      "\n",
      "Manager:\n",
      "\n",
      "The AI Engineer will be a pivotal member of the Generative AI lab, a specialized cohort of engineers devoted to innovating core AI functionalities that propel value across the consulting lifecycle for our consultants. The key focus areas encompass information extraction, synthesis, and analytical processing of both structured and unstructured data to unearth quantitative insights. The AI Engineer will be instrumental in architecting, owning, and evolving AI functionalities throughout their lifecycle, transitioning from proof of concept to a production-grade pipeline. This role involves researching novel capabilities, conducting empirical experiments to quantitatively ascertain the functionality’s performance and suitability, and developing proofs of concept. The ensuing phase involves refining the pipeline to a production-grade module, ready for integration by the product team into a user-centric experience.\n",
      "\n",
      "Key Responsibilities:\n",
      "• Owning and steering individual pipelines for AI functionalities from conceptualization to production.\n",
      "• Investigating emerging capabilities, conducting rigorous experiments to quantitatively evaluate functionality's performance and relevance, and developing proofs of concept.\n",
      "• Transitioning pipelines to production-quality modules for seamless integration into user experiences by the product team.\n",
      "• Collaborating closely with other engineers in the Generative AI lab to drive innovative solutions and share knowledge and insights.\n",
      "• Ensuring the continual enhancement of AI functionalities by leveraging feedback and performance metrics to refine pipelines and modules.\n",
      "• Communicating effectively with stakeholders to report progress, challenges, and outcomes of AI initiatives.\n",
      "\n",
      "Qualifications:\n",
      "• 5+ years of professional experience in data science, specifically in crafting and deploying AI/ML applications.\n",
      "• Proficiency in Python is mandatory, with substantial knowledge of ML libraries such as Scikit-Learn; SQL expertise is desirable, as is familiarity with cloud platforms like Azure or comparable platforms, and vector databases like Pinecone.\n",
      "• A robust understanding of the lifecycle of statistical and machine learning models encompassing data preparation, technique selection, model selection, hyperparameter tuning, and performance evaluation/improvement.\n",
      "• A seasoned background in handling unstructured natural language data, text extraction, and engineering.\n",
      "• Preferred experience in Natural Language Processing (NLP) including n-grams, bag of words representation, TF-IDF, semantic parsing, and sentiment analysis.\n",
      "• A penchant for Generative AI and large language models including text completion models, semantic embeddings, and familiarity with frameworks such as Langchain is desirable.\n",
      "• Sharp analytical and problem-solving abilities with a self-driven nature, capable of functioning autonomously under the guidance of the head of AI labs.\n",
      "• An advanced degree in a quantitative discipline like Statistics, Computer Science, Physics, or Mathematics is preferred.\n",
      "\n",
      "#LI-CP1\n",
      "-------------------------\n",
      "Senior Generative AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "This position is for a Lead Engineer in Generative AI Product Engineering at Capital One. The successful candidate will be in charge of developing and maintaining APIs and SDKs that are used to train, fine-tune, and access AI models on a larger scale. The candidate will work alongside a team of ingenious AI engineers and researchers that aim to develop and execute key API products and services necessary for speedy solutions in customer-facing applications.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Create, build, and release necessary APIs and software development kits that enable users to utilize Large-Language Models (LLMs) and unique Foundation Models (FMs) for tasks such as training, fine-tuning, and prompting.\n",
      "• Real-time APIs can benefit from the use of websockets, which enable bi-directional communication between clients and servers in real time.\n",
      "• Leverage the power of LLMs and FMs to create interfaces that are tailored to the unique requirements of different applications, ultimately enhancing the customer experience.\n",
      "• Allow users to develop advanced Generative AI capabilities.\n",
      "• Developing efficient monitoring systems to keep track of the API usage metrics and the operational state can contribute to successful management of operations.\n",
      "• Employ AI safety measures to address risks and prevent unwanted outcomes in the API layer.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A bachelor’s degree in Computer Science, Computer Engineering, or a related technical field is an essential requirement to apply for this position.\n",
      "• The role calls for a record of at least 6 years in creating and building data-intensive solutions utilizing distributed computing and cache optimization approaches.\n",
      "• Knowledge of Python, Scala, Java, or Go programming with at least 6 years of experience is an imperative factor for the ideal candidate.\n",
      "• To be considered for this role, the applicant must have a proven track record of creating, scaling, and optimizing training or inferencing systems for deep neural networks for one year or more.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Candidates must have vast knowledge of building and scaling NLP, speech, computer vision, or recommendation systems designed for massive audiences served by AI products or platforms.\n",
      "• Being able to perform well in a fast-moving workplace with multiple priorities and unclear outcomes by remaining calm and focused.\n",
      "• Experience in tech and innovation-centered firms is preferred by employers.\n",
      "• Acquaintance with strategically implementing and deploying massive neural network models in demanding production environments.\n",
      "• Knowledge of cloud computing providers and cloud architecture such as AWS, Google Cloud, and Azure, and the cloud security and resilience techniques to ensure the security of the cloud architecture and network infrastructure.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Employees who receive a performance-based incentive compensation package, which includes financial bonuses and other non-monetary benefits, are more likely to be motivated to perform their duties efficiently and effectively.\n",
      "• A complete benefits package that aims to support employees' physical, emotional, and financial wellness.\n",
      "• The company fosters a supportive environment that is conducive to professional growth and development.\n",
      "• Cultivate growth both in work and personal areas in a supportive and inclusive workplace environment.\n",
      "\n",
      "About Company:\n",
      "\n",
      "By leveraging paradigm-shifting AI technologies and effective machine learning algorithms, we're revolutionizing the banking industry for the betterment of our customers.\n",
      "-------------------------\n",
      "Join the Enterprise AI & Automation team in NVIDIA IT to drive the development of outstanding AI-powered employee productivity solutions to improve employee experience, and business productivity. As part of this initiative, we are building generative AI-based conversational virtual assistants, copilots for enterprise applications, and other forward-looking solutions across IT and other business functions including sales, HR, and supply chain by using NVIDIA’s own technology stack. As the director of engineering you will lead the engineering team to build and deliver world-class AI-infused employee productivity tools. You will collaborate with product managers in shaping the vision, building the roadmaps, and delivering world-class products to improve the productivity of NVIDIA employees in various roles. We use NVIDIA’s own top-notch generative AI workflows, LLM models, speech recognition, avatars, and other technologies in our work. If you can envision the future of employee productivity powered by AI, join us, and make an inspiring impact!\n",
      "\n",
      "What You Will Be Doing\n",
      "• Lead the engineering team to build world-class AI-driven employee productivity tools and automations by instituting software development discipline and agile software development methodologies.\n",
      "• Collaborate with product managers to shape the strategy and roadmaps. Lead the engineering team to perform requirements analysis, release iteration planning, Git/Jira issue management, CI/CD process development, software development effort estimation, performance analysis, testing, and delivering world-class scalable and reliable software.\n",
      "• Collaborate with other engineering leaders in the employee productivity organization to ensure that your team’s roadmaps align with the projects and technical advancements happening with the rest of the organization.\n",
      "• Build and grow a diverse and high performing team.\n",
      "• Leverage NVIDIA’s latest AI products and workflows including Large Language Models (LLMs), Retrieval augmented generation (RAG) technologies, GPU-optimized training and inference compute stack, Speech recognition, and other NVIDIA products and AI workflows in building enterprise solutions.\n",
      "• Collaborate with various partners in enterprise business functions in gathering requirements and in crafting and delivering generative AI-infused solutions for NVIDIA.\n",
      "• Drive user studies, product evaluations, and case studies and collaborate with product teams to provide valuable feedback and help improve the products.\n",
      "• Be a reference client for NVIDIA’s products in its own enterprise transformation.\n",
      "\n",
      "What We Need To See\n",
      "• Bachelor’s degree in Computer Science (or equivalent experience). Preferably a graduate degree in Computer Science, or other related engineering fields.\n",
      "• 10+ overall years of demonstrated experience in engineering leadership positions in building and shipping customer facing or employee facing products resulting in significant business impact.\n",
      "• 4+ years of demonstrated hands-on engineering leadership in building AI-infused products involving Machine Learning, generative AI, traditional deep learning, and statistical machine learning techniques.\n",
      "• Deep expertise in computer science and an insatiable curiosity to keep learning. Ability to guide the team in making informed, well-analyzed, prudent, and practical technical decisions.\n",
      "• A proven track record of delivering complex, scalable, and reliable software by leading and mentoring talented cross-functional engineers.\n",
      "• Strong experience in building web applications and managing containerized application deployments which run in Public Clouds such as AWS.\n",
      "• An elevated sense of ownership and focus on driving business value. A leadership style focused on building relationships, establishing trust with diverse colleagues, executive stakeholders, and business partners.\n",
      "• Ability to prioritize multiple projects at once and thrive in a fast-paced environment.\n",
      "• Expertise in managing release workflows for large distributed applications.\n",
      "\n",
      "Ways To Stand Out From The Crowd\n",
      "• Hands on prototyping skills in Python. Can build and deploy containerized software on Cloud.\n",
      "• Proven hands-on expertise and familiarity of working with LLMs, RAGs, open-source frameworks such as Lang Chain, and Langflow.\n",
      "• Excellent writing skills to write, and publish case studies, and papers.\n",
      "• Familiarity with NVIDIA’s products, GPU-optimized compute stack, familiarity with NVIDIA software strategy & products.\n",
      "\n",
      "NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and enjoy learning while having fun, then what are you waiting for? Apply today!\n",
      "\n",
      "The base salary range is 284,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.\n",
      "\n",
      "You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.\n",
      "\n",
      "NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.\n",
      "-------------------------\n",
      "Senior Generative AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "This position is for a Lead Engineer in Generative AI Product Engineering at Capital One. The successful candidate will be in charge of developing and maintaining APIs and SDKs that are used to train, fine-tune, and access AI models on a larger scale. The candidate will work alongside a team of ingenious AI engineers and researchers that aim to develop and execute key API products and services necessary for speedy solutions in customer-facing applications.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Create, build, and release necessary APIs and software development kits that enable users to utilize Large-Language Models (LLMs) and unique Foundation Models (FMs) for tasks such as training, fine-tuning, and prompting.\n",
      "• Real-time APIs can benefit from the use of websockets, which enable bi-directional communication between clients and servers in real time.\n",
      "• Leverage the power of LLMs and FMs to create interfaces that are tailored to the unique requirements of different applications, ultimately enhancing the customer experience.\n",
      "• Allow users to develop advanced Generative AI capabilities.\n",
      "• Developing efficient monitoring systems to keep track of the API usage metrics and the operational state can contribute to successful management of operations.\n",
      "• Employ AI safety measures to address risks and prevent unwanted outcomes in the API layer.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A bachelor’s degree in Computer Science, Computer Engineering, or a related technical field is an essential requirement to apply for this position.\n",
      "• The role calls for a record of at least 6 years in creating and building data-intensive solutions utilizing distributed computing and cache optimization approaches.\n",
      "• Knowledge of Python, Scala, Java, or Go programming with at least 6 years of experience is an imperative factor for the ideal candidate.\n",
      "• To be considered for this role, the applicant must have a proven track record of creating, scaling, and optimizing training or inferencing systems for deep neural networks for one year or more.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Candidates must have vast knowledge of building and scaling NLP, speech, computer vision, or recommendation systems designed for massive audiences served by AI products or platforms.\n",
      "• Being able to perform well in a fast-moving workplace with multiple priorities and unclear outcomes by remaining calm and focused.\n",
      "• Experience in tech and innovation-centered firms is preferred by employers.\n",
      "• Acquaintance with strategically implementing and deploying massive neural network models in demanding production environments.\n",
      "• Knowledge of cloud computing providers and cloud architecture such as AWS, Google Cloud, and Azure, and the cloud security and resilience techniques to ensure the security of the cloud architecture and network infrastructure.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Employees who receive a performance-based incentive compensation package, which includes financial bonuses and other non-monetary benefits, are more likely to be motivated to perform their duties efficiently and effectively.\n",
      "• A complete benefits package that aims to support employees' physical, emotional, and financial wellness.\n",
      "• The company fosters a supportive environment that is conducive to professional growth and development.\n",
      "• Cultivate growth both in work and personal areas in a supportive and inclusive workplace environment.\n",
      "\n",
      "About Company:\n",
      "\n",
      "By leveraging paradigm-shifting AI technologies and effective machine learning algorithms, we're revolutionizing the banking industry for the betterment of our customers.\n",
      "-------------------------\n",
      "Chief AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "If you want to partake in shaping Capital One's AI capabilities, we require a Lead Generative AI Infrastructure Engineer to join our team. This role will involve several interventions, such as instituting extensive, distributed training clusters, mounting Large-Language Models (LLMs) on GPU instances to be deployed in real-time operations, and rendering active support for advanced AI research and development. The optimal candidate must establish a close collaboration with cloud and container infrastructure teams, including AI researchers, to realize essential functionalities.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• For efficient large-scale computations, it is crucial to deploy distributed training clusters in the public cloud with an optimized storage and networking stack.\n",
      "• Incorporate strategies that allow distributed systems to perform long-running training experiments even in the presence of failures. One effective strategy is to use load-balancing schedulers with a check-pointing library to enable the resumption of the job at a precise point after a node failure.\n",
      "• The purpose is to establish a robust framework that supports efficient, scalable, and cost-effective delivery of LLMs and Foundation Models in cloud environments.\n",
      "• Design a flexible and customizable environment for implementing search indexes and embeddings in vector databases to address the unique needs of individual users.\n",
      "• Collaborate with AI researchers and cloud and container infrastructure groups to develop and execute essential functionalities.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical field degree such as Computer Science or Computer Engineering is required for a Bachelor's program.\n",
      "• It is essential to have at least six years of experience designing and constructing distributed computing solutions for handling high volumes of data.\n",
      "• A minimum of six years of coding experience using Python, Go, Scala, or Java is required.\n",
      "• This job opening requires applicants to have one year or more of experience with High-Performance Computing (HPC), vector embedding, or semantic search technologies.\n",
      "• One must possess at least a year's worth of experience in constructing, scaling, and refining training or inferencing systems for deep neural networks.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• The eligibility criteria for this position requires candidates to have completed a graduate degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or an equivalent subject.\n",
      "• Skilled in advanced machine learning techniques, with hands-on experience in deploying large-scale deep neural networks and transformer models in production systems.\n",
      "• Keeping up with the latest advancements in AI requires mastery of machine learning frameworks, including TensorFlow, PyTorch, Lightning, or Mosaic ML.\n",
      "• Agility to adapt and perform effectively in an ambivalent and rapidly changing environment with competing demands and due dates.\n",
      "• Individuals who have worked in technology-driven companies and startups are preferred candidates.\n",
      "• Knowledgeable in deploying intricate neural networks in challenging production environments.\n",
      "• A seasoned expert in the realm of creating GPU clusters in the public cloud, particularly in the area of closely-integrated storage and networking functions.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Reward systems that are based on performance and include monetary incentives, such as cash bonuses and long-term incentives, are known as performance-based incentive compensation.\n",
      "• Supporting the complete wellness of individuals, through a range of benefits covering health, finances, and more.\n",
      "• One of the benefits of working at Capital One is the variety of career paths available for employees, allowing for personal and professional growth.\n",
      "• Creating a supportive and inclusive work environment that enables individuals to grow personally and professionally.\n",
      "\n",
      "About Company:\n",
      "\n",
      "Capital One is committed to creating trustworthy and reliable AI systems that incorporate human input to revolutionize and evolve banking services. Our mission is to incorporate machine learning and AI technology to design automated and intelligent customer services in real-time. Partner with us and help shape the future of banking service delivery for businesses and individuals.\n",
      "-------------------------\n",
      "Chief AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "If you want to partake in shaping Capital One's AI capabilities, we require a Lead Generative AI Infrastructure Engineer to join our team. This role will involve several interventions, such as instituting extensive, distributed training clusters, mounting Large-Language Models (LLMs) on GPU instances to be deployed in real-time operations, and rendering active support for advanced AI research and development. The optimal candidate must establish a close collaboration with cloud and container infrastructure teams, including AI researchers, to realize essential functionalities.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• For efficient large-scale computations, it is crucial to deploy distributed training clusters in the public cloud with an optimized storage and networking stack.\n",
      "• Incorporate strategies that allow distributed systems to perform long-running training experiments even in the presence of failures. One effective strategy is to use load-balancing schedulers with a check-pointing library to enable the resumption of the job at a precise point after a node failure.\n",
      "• The purpose is to establish a robust framework that supports efficient, scalable, and cost-effective delivery of LLMs and Foundation Models in cloud environments.\n",
      "• Design a flexible and customizable environment for implementing search indexes and embeddings in vector databases to address the unique needs of individual users.\n",
      "• Collaborate with AI researchers and cloud and container infrastructure groups to develop and execute essential functionalities.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical field degree such as Computer Science or Computer Engineering is required for a Bachelor's program.\n",
      "• It is essential to have at least six years of experience designing and constructing distributed computing solutions for handling high volumes of data.\n",
      "• A minimum of six years of coding experience using Python, Go, Scala, or Java is required.\n",
      "• This job opening requires applicants to have one year or more of experience with High-Performance Computing (HPC), vector embedding, or semantic search technologies.\n",
      "• One must possess at least a year's worth of experience in constructing, scaling, and refining training or inferencing systems for deep neural networks.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• The eligibility criteria for this position requires candidates to have completed a graduate degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or an equivalent subject.\n",
      "• Skilled in advanced machine learning techniques, with hands-on experience in deploying large-scale deep neural networks and transformer models in production systems.\n",
      "• Keeping up with the latest advancements in AI requires mastery of machine learning frameworks, including TensorFlow, PyTorch, Lightning, or Mosaic ML.\n",
      "• Agility to adapt and perform effectively in an ambivalent and rapidly changing environment with competing demands and due dates.\n",
      "• Individuals who have worked in technology-driven companies and startups are preferred candidates.\n",
      "• Knowledgeable in deploying intricate neural networks in challenging production environments.\n",
      "• A seasoned expert in the realm of creating GPU clusters in the public cloud, particularly in the area of closely-integrated storage and networking functions.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Reward systems that are based on performance and include monetary incentives, such as cash bonuses and long-term incentives, are known as performance-based incentive compensation.\n",
      "• Supporting the complete wellness of individuals, through a range of benefits covering health, finances, and more.\n",
      "• One of the benefits of working at Capital One is the variety of career paths available for employees, allowing for personal and professional growth.\n",
      "• Creating a supportive and inclusive work environment that enables individuals to grow personally and professionally.\n",
      "\n",
      "About Company:\n",
      "\n",
      "Capital One is committed to creating trustworthy and reliable AI systems that incorporate human input to revolutionize and evolve banking services. Our mission is to incorporate machine learning and AI technology to design automated and intelligent customer services in real-time. Partner with us and help shape the future of banking service delivery for businesses and individuals.\n",
      "-------------------------\n",
      "The Opportunity\n",
      "\n",
      "AI is rapidly changing the world. From processing job applications and credit decisions, to making content recommendations and helping researchers analyze genetic markers at scale -- many aspects of our daily lives are touched by machine learned systems in some way.\n",
      "\n",
      "Arize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build world class software that helps make AI work better.\n",
      "\n",
      "The Team\n",
      "\n",
      "Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. We are looking for a Sales Engineer to join the good fight and get this product in the hands of every Machine Learning organization.\n",
      "\n",
      "You'll work side-by-side with our Account Executives to articulate the Arize value and overall strategy to differentiate the platform throughout the sales process and drive POCs from requirements gathering to close. The activities performed by a Sales Engineer are diverse - one day you might be assisting with a high-level pitch of Arize to a CDO, and the next day you might be working hands-on to develop a small proof of concept.\n",
      "\n",
      "What You’ll Do\n",
      "\n",
      "You are the trusted advisor to the customer:\n",
      "• Build relationships with technical stakeholders\n",
      "• Lead product demonstrations of the Arize platform\n",
      "• Lead discovery to understand prospect’s ML stack to collaborate with the Sales team to construct a compelling value proposition of the Arize Platform\n",
      "• Handle technical objections and develop strategies across sales, engineering, and product to unblock them\n",
      "\n",
      "Act as a Domain Expert within AI/ML:\n",
      "• Write educational and compelling blog posts about ML and MLOps related topics\n",
      "• Collaborate to create and enhance documentation, recorded video assets and other publically available as well as internal enablement materials\n",
      "• Engage in relevant ML communities online to raise awareness on challenges of deploying ML in production\n",
      "\n",
      "What We’re Looking For\n",
      "\n",
      "Strong Communication Skills:\n",
      "• You can empathize with the frame of reference of who you are communicating with and tailor your message and approach accordingly.\n",
      "• Ability to simplify complex, technical concepts\n",
      "\n",
      "A quick and self learner:\n",
      "• You are undaunted by the technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.\n",
      "• You ask the right questions with the customer to uncover nuances in their unique deployments.\n",
      "• Ability to work within ambiguity and take action with limited direction\n",
      "\n",
      "Knowledgeable in Machine Learning:\n",
      "• You may not have a PhD in ML but you know the difference between Linear Regression and Boosted Trees and the advantages / disadvantages of each.\n",
      "• You have some experience training models in common packages such as scikit-learn, HuggingFace, fastai, and etc.\n",
      "\n",
      "5+ years within customer facing role:\n",
      "• Pre-sales, technical account management, or consulting experience\n",
      "• Worked customers within the high enterprise (e.g. Fortune 500, etc)\n",
      "\n",
      "Proficiency in:\n",
      "• Python\n",
      "• Linux/Unix\n",
      "\n",
      "Bonus Points, But Not Required\n",
      "• Previous experience working across and aligning Sales, Product, and Engineering\n",
      "• Previous experience within a team that underwent a high growth stage\n",
      "• Previous engineering experience in: Data Engineering, MLOps, Kubernetes, GCP / AWS / Azure\n",
      "\n",
      "The estimated annual salary and variable compensation for this role is between $140,000 - $220,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.\n",
      "\n",
      "More About Arize\n",
      "\n",
      "Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.\n",
      "\n",
      "Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c\n",
      "\n",
      "Diversity & Inclusion @ Arize\n",
      "\n",
      "Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture\n",
      "• Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI\n",
      "• Culturally conscious events such as LGBTQ trivia during pride month\n",
      "• We have an active Lady Arizers subgroup\n",
      "-------------------------\n",
      "Chief AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "If you want to partake in shaping Capital One's AI capabilities, we require a Lead Generative AI Infrastructure Engineer to join our team. This role will involve several interventions, such as instituting extensive, distributed training clusters, mounting Large-Language Models (LLMs) on GPU instances to be deployed in real-time operations, and rendering active support for advanced AI research and development. The optimal candidate must establish a close collaboration with cloud and container infrastructure teams, including AI researchers, to realize essential functionalities.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• For efficient large-scale computations, it is crucial to deploy distributed training clusters in the public cloud with an optimized storage and networking stack.\n",
      "• Incorporate strategies that allow distributed systems to perform long-running training experiments even in the presence of failures. One effective strategy is to use load-balancing schedulers with a check-pointing library to enable the resumption of the job at a precise point after a node failure.\n",
      "• The purpose is to establish a robust framework that supports efficient, scalable, and cost-effective delivery of LLMs and Foundation Models in cloud environments.\n",
      "• Design a flexible and customizable environment for implementing search indexes and embeddings in vector databases to address the unique needs of individual users.\n",
      "• Collaborate with AI researchers and cloud and container infrastructure groups to develop and execute essential functionalities.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical field degree such as Computer Science or Computer Engineering is required for a Bachelor's program.\n",
      "• It is essential to have at least six years of experience designing and constructing distributed computing solutions for handling high volumes of data.\n",
      "• A minimum of six years of coding experience using Python, Go, Scala, or Java is required.\n",
      "• This job opening requires applicants to have one year or more of experience with High-Performance Computing (HPC), vector embedding, or semantic search technologies.\n",
      "• One must possess at least a year's worth of experience in constructing, scaling, and refining training or inferencing systems for deep neural networks.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• The eligibility criteria for this position requires candidates to have completed a graduate degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or an equivalent subject.\n",
      "• Skilled in advanced machine learning techniques, with hands-on experience in deploying large-scale deep neural networks and transformer models in production systems.\n",
      "• Keeping up with the latest advancements in AI requires mastery of machine learning frameworks, including TensorFlow, PyTorch, Lightning, or Mosaic ML.\n",
      "• Agility to adapt and perform effectively in an ambivalent and rapidly changing environment with competing demands and due dates.\n",
      "• Individuals who have worked in technology-driven companies and startups are preferred candidates.\n",
      "• Knowledgeable in deploying intricate neural networks in challenging production environments.\n",
      "• A seasoned expert in the realm of creating GPU clusters in the public cloud, particularly in the area of closely-integrated storage and networking functions.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Reward systems that are based on performance and include monetary incentives, such as cash bonuses and long-term incentives, are known as performance-based incentive compensation.\n",
      "• Supporting the complete wellness of individuals, through a range of benefits covering health, finances, and more.\n",
      "• One of the benefits of working at Capital One is the variety of career paths available for employees, allowing for personal and professional growth.\n",
      "• Creating a supportive and inclusive work environment that enables individuals to grow personally and professionally.\n",
      "\n",
      "About Company:\n",
      "\n",
      "Capital One is committed to creating trustworthy and reliable AI systems that incorporate human input to revolutionize and evolve banking services. Our mission is to incorporate machine learning and AI technology to design automated and intelligent customer services in real-time. Partner with us and help shape the future of banking service delivery for businesses and individuals.\n",
      "-------------------------\n",
      "Chief AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "If you want to partake in shaping Capital One's AI capabilities, we require a Lead Generative AI Infrastructure Engineer to join our team. This role will involve several interventions, such as instituting extensive, distributed training clusters, mounting Large-Language Models (LLMs) on GPU instances to be deployed in real-time operations, and rendering active support for advanced AI research and development. The optimal candidate must establish a close collaboration with cloud and container infrastructure teams, including AI researchers, to realize essential functionalities.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• For efficient large-scale computations, it is crucial to deploy distributed training clusters in the public cloud with an optimized storage and networking stack.\n",
      "• Incorporate strategies that allow distributed systems to perform long-running training experiments even in the presence of failures. One effective strategy is to use load-balancing schedulers with a check-pointing library to enable the resumption of the job at a precise point after a node failure.\n",
      "• The purpose is to establish a robust framework that supports efficient, scalable, and cost-effective delivery of LLMs and Foundation Models in cloud environments.\n",
      "• Design a flexible and customizable environment for implementing search indexes and embeddings in vector databases to address the unique needs of individual users.\n",
      "• Collaborate with AI researchers and cloud and container infrastructure groups to develop and execute essential functionalities.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical field degree such as Computer Science or Computer Engineering is required for a Bachelor's program.\n",
      "• It is essential to have at least six years of experience designing and constructing distributed computing solutions for handling high volumes of data.\n",
      "• A minimum of six years of coding experience using Python, Go, Scala, or Java is required.\n",
      "• This job opening requires applicants to have one year or more of experience with High-Performance Computing (HPC), vector embedding, or semantic search technologies.\n",
      "• One must possess at least a year's worth of experience in constructing, scaling, and refining training or inferencing systems for deep neural networks.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• The eligibility criteria for this position requires candidates to have completed a graduate degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or an equivalent subject.\n",
      "• Skilled in advanced machine learning techniques, with hands-on experience in deploying large-scale deep neural networks and transformer models in production systems.\n",
      "• Keeping up with the latest advancements in AI requires mastery of machine learning frameworks, including TensorFlow, PyTorch, Lightning, or Mosaic ML.\n",
      "• Agility to adapt and perform effectively in an ambivalent and rapidly changing environment with competing demands and due dates.\n",
      "• Individuals who have worked in technology-driven companies and startups are preferred candidates.\n",
      "• Knowledgeable in deploying intricate neural networks in challenging production environments.\n",
      "• A seasoned expert in the realm of creating GPU clusters in the public cloud, particularly in the area of closely-integrated storage and networking functions.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Reward systems that are based on performance and include monetary incentives, such as cash bonuses and long-term incentives, are known as performance-based incentive compensation.\n",
      "• Supporting the complete wellness of individuals, through a range of benefits covering health, finances, and more.\n",
      "• One of the benefits of working at Capital One is the variety of career paths available for employees, allowing for personal and professional growth.\n",
      "• Creating a supportive and inclusive work environment that enables individuals to grow personally and professionally.\n",
      "\n",
      "About Company:\n",
      "\n",
      "Capital One is committed to creating trustworthy and reliable AI systems that incorporate human input to revolutionize and evolve banking services. Our mission is to incorporate machine learning and AI technology to design automated and intelligent customer services in real-time. Partner with us and help shape the future of banking service delivery for businesses and individuals.\n",
      "-------------------------\n",
      "Senior Generative AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "This position is for a Lead Engineer in Generative AI Product Engineering at Capital One. The successful candidate will be in charge of developing and maintaining APIs and SDKs that are used to train, fine-tune, and access AI models on a larger scale. The candidate will work alongside a team of ingenious AI engineers and researchers that aim to develop and execute key API products and services necessary for speedy solutions in customer-facing applications.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Create, build, and release necessary APIs and software development kits that enable users to utilize Large-Language Models (LLMs) and unique Foundation Models (FMs) for tasks such as training, fine-tuning, and prompting.\n",
      "• Real-time APIs can benefit from the use of websockets, which enable bi-directional communication between clients and servers in real time.\n",
      "• Leverage the power of LLMs and FMs to create interfaces that are tailored to the unique requirements of different applications, ultimately enhancing the customer experience.\n",
      "• Allow users to develop advanced Generative AI capabilities.\n",
      "• Developing efficient monitoring systems to keep track of the API usage metrics and the operational state can contribute to successful management of operations.\n",
      "• Employ AI safety measures to address risks and prevent unwanted outcomes in the API layer.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A bachelor’s degree in Computer Science, Computer Engineering, or a related technical field is an essential requirement to apply for this position.\n",
      "• The role calls for a record of at least 6 years in creating and building data-intensive solutions utilizing distributed computing and cache optimization approaches.\n",
      "• Knowledge of Python, Scala, Java, or Go programming with at least 6 years of experience is an imperative factor for the ideal candidate.\n",
      "• To be considered for this role, the applicant must have a proven track record of creating, scaling, and optimizing training or inferencing systems for deep neural networks for one year or more.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Candidates must have vast knowledge of building and scaling NLP, speech, computer vision, or recommendation systems designed for massive audiences served by AI products or platforms.\n",
      "• Being able to perform well in a fast-moving workplace with multiple priorities and unclear outcomes by remaining calm and focused.\n",
      "• Experience in tech and innovation-centered firms is preferred by employers.\n",
      "• Acquaintance with strategically implementing and deploying massive neural network models in demanding production environments.\n",
      "• Knowledge of cloud computing providers and cloud architecture such as AWS, Google Cloud, and Azure, and the cloud security and resilience techniques to ensure the security of the cloud architecture and network infrastructure.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Employees who receive a performance-based incentive compensation package, which includes financial bonuses and other non-monetary benefits, are more likely to be motivated to perform their duties efficiently and effectively.\n",
      "• A complete benefits package that aims to support employees' physical, emotional, and financial wellness.\n",
      "• The company fosters a supportive environment that is conducive to professional growth and development.\n",
      "• Cultivate growth both in work and personal areas in a supportive and inclusive workplace environment.\n",
      "\n",
      "About Company:\n",
      "\n",
      "By leveraging paradigm-shifting AI technologies and effective machine learning algorithms, we're revolutionizing the banking industry for the betterment of our customers.\n",
      "-------------------------\n",
      "Principal AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "Capital One is currently in search of a Senior Distinguished Engineer for AI Systems to partake in constructing the base of our company's AI capabilities. As a part of the team, you will work together with AI researchers and engineers to come up with secure and reliable infrastructures, big-scale distributed training clusters, and innovative research and development ventures in the field of AI. The ideal candidate should possess extensive knowledge in cloud environments, machine learning, and distributed computing, and must have a strong motivation to lead the banking industry towards continuous innovation.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Develop a durable infrastructure to support lengthy, high-stakes training processes that depend on container and checkpointing libraries.\n",
      "• Establishing a robust infrastructure to support the deployment and operation of large machine learning models is crucial within our public cloud environment.\n",
      "• In order to enhance the efficiency of training tasks, a large-scale training cluster with a thousand nodes can be deployed and optimized in the public cloud, focusing on the optimization of storage and networking stack.\n",
      "• Develop and execute performance tests on AI software systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance.\n",
      "• Utilize big language models (LLMs) and feature models (FMs) to design and create innovative applications that meet end-user demands.\n",
      "• Developing and integrating continuous integration/continuous delivery (CI/CD) pipelines into MLOps workflows can streamline the deployment of foundation models.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical degree, such as Computer Science or Computer Engineering at the Bachelor's level, is necessary for this position.\n",
      "• With more than seven years of expertise, I specialize in developing distributed computing, high-performance computing (HPC), and extensive machine learning (ML) systems.\n",
      "• Proficient in Python or C/C++, with valuable expertise in developing AI and ML algorithms gained over 5+ years of experience.\n",
      "• My expertise spans over 3 years in the entire machine language development process, utilizing frameworks for artificial intelligence and machine learning in conjunction with the public cloud.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Possession of a Master's degree or PhD in Engineering, Computer Science, or a related technical field, or an equivalent practical experience that centers on modern AI techniques is required.\n",
      "• Proficient in developing extensive distributed systems within cloud environments like AWS, Azure or GCP.\n",
      "• With a proven track record of designing cloud systems for a wide range of industries, the candidate has extensive experience in ensuring the security, availability, performance, scalability, and cost-effectiveness of these systems.\n",
      "• Successfully navigating the MLOps life cycle to deliver extensive models has been a key area of expertise in our team.\n",
      "• Creating GPU clusters in the public cloud while integrating storage and networking in a closely-knit manner has been a challenging but rewarding experience.\n",
      "• Proficient in utilizing the full technology stack for the distributed training of large models, encompassing machine learning compilers, frameworks for distributed training, and ML development platforms including PyTorch, TensorFlow, Lightning, and others.\n",
      "• Proficient in utilizing AI technology stack encompassing areas such as prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, and fine-tuning to deliver high-quality results.\n",
      "• Scientific papers presented at highly-regarded conferences or notable contributions in the field of neural networks, distributed training, and systems modeling language (SysML).\n",
      "\n",
      "Benefits of the Posiiton:\n",
      "• Monetary rewards based on performance, including bonuses and incentives for the long-term, are known as performance-based incentive compensation.\n",
      "• Our benefits package covers everything you need to ensure your overall well-being, from healthcare to financial incentives.\n",
      "• Capital One offers several avenues for professional advancement and personal growth for its employees.\n",
      "• The workplace nurtures growth and development by promoting an inclusive and supportive atmosphere.\n",
      "\n",
      "About Company:\n",
      "\n",
      "At Capital One, our mission is centered around constructing AI systems that are dependable, ethical, and incorporate human input, enhancing the financial industry. Our primary attention is on AI and machine learning advancements that will bring about automated and intelligent customer support. With our extensive utilization of machine learning platforms and public cloud infrastructure, we possess the necessary resources to capitalize on AI's potential. Joining us will enable you to participate in the reconstruction of how we serve clients and corporations while making a substantial impact on the future of banking.\n",
      "-------------------------\n",
      "Principal AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "Capital One is currently in search of a Senior Distinguished Engineer for AI Systems to partake in constructing the base of our company's AI capabilities. As a part of the team, you will work together with AI researchers and engineers to come up with secure and reliable infrastructures, big-scale distributed training clusters, and innovative research and development ventures in the field of AI. The ideal candidate should possess extensive knowledge in cloud environments, machine learning, and distributed computing, and must have a strong motivation to lead the banking industry towards continuous innovation.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Develop a durable infrastructure to support lengthy, high-stakes training processes that depend on container and checkpointing libraries.\n",
      "• Establishing a robust infrastructure to support the deployment and operation of large machine learning models is crucial within our public cloud environment.\n",
      "• In order to enhance the efficiency of training tasks, a large-scale training cluster with a thousand nodes can be deployed and optimized in the public cloud, focusing on the optimization of storage and networking stack.\n",
      "• Develop and execute performance tests on AI software systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance.\n",
      "• Utilize big language models (LLMs) and feature models (FMs) to design and create innovative applications that meet end-user demands.\n",
      "• Developing and integrating continuous integration/continuous delivery (CI/CD) pipelines into MLOps workflows can streamline the deployment of foundation models.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical degree, such as Computer Science or Computer Engineering at the Bachelor's level, is necessary for this position.\n",
      "• With more than seven years of expertise, I specialize in developing distributed computing, high-performance computing (HPC), and extensive machine learning (ML) systems.\n",
      "• Proficient in Python or C/C++, with valuable expertise in developing AI and ML algorithms gained over 5+ years of experience.\n",
      "• My expertise spans over 3 years in the entire machine language development process, utilizing frameworks for artificial intelligence and machine learning in conjunction with the public cloud.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Possession of a Master's degree or PhD in Engineering, Computer Science, or a related technical field, or an equivalent practical experience that centers on modern AI techniques is required.\n",
      "• Proficient in developing extensive distributed systems within cloud environments like AWS, Azure or GCP.\n",
      "• With a proven track record of designing cloud systems for a wide range of industries, the candidate has extensive experience in ensuring the security, availability, performance, scalability, and cost-effectiveness of these systems.\n",
      "• Successfully navigating the MLOps life cycle to deliver extensive models has been a key area of expertise in our team.\n",
      "• Creating GPU clusters in the public cloud while integrating storage and networking in a closely-knit manner has been a challenging but rewarding experience.\n",
      "• Proficient in utilizing the full technology stack for the distributed training of large models, encompassing machine learning compilers, frameworks for distributed training, and ML development platforms including PyTorch, TensorFlow, Lightning, and others.\n",
      "• Proficient in utilizing AI technology stack encompassing areas such as prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, and fine-tuning to deliver high-quality results.\n",
      "• Scientific papers presented at highly-regarded conferences or notable contributions in the field of neural networks, distributed training, and systems modeling language (SysML).\n",
      "\n",
      "Benefits of the Posiiton:\n",
      "• Monetary rewards based on performance, including bonuses and incentives for the long-term, are known as performance-based incentive compensation.\n",
      "• Our benefits package covers everything you need to ensure your overall well-being, from healthcare to financial incentives.\n",
      "• Capital One offers several avenues for professional advancement and personal growth for its employees.\n",
      "• The workplace nurtures growth and development by promoting an inclusive and supportive atmosphere.\n",
      "\n",
      "About Company:\n",
      "\n",
      "At Capital One, our mission is centered around constructing AI systems that are dependable, ethical, and incorporate human input, enhancing the financial industry. Our primary attention is on AI and machine learning advancements that will bring about automated and intelligent customer support. With our extensive utilization of machine learning platforms and public cloud infrastructure, we possess the necessary resources to capitalize on AI's potential. Joining us will enable you to participate in the reconstruction of how we serve clients and corporations while making a substantial impact on the future of banking.\n",
      "-------------------------\n",
      "Chief AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "If you want to partake in shaping Capital One's AI capabilities, we require a Lead Generative AI Infrastructure Engineer to join our team. This role will involve several interventions, such as instituting extensive, distributed training clusters, mounting Large-Language Models (LLMs) on GPU instances to be deployed in real-time operations, and rendering active support for advanced AI research and development. The optimal candidate must establish a close collaboration with cloud and container infrastructure teams, including AI researchers, to realize essential functionalities.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• For efficient large-scale computations, it is crucial to deploy distributed training clusters in the public cloud with an optimized storage and networking stack.\n",
      "• Incorporate strategies that allow distributed systems to perform long-running training experiments even in the presence of failures. One effective strategy is to use load-balancing schedulers with a check-pointing library to enable the resumption of the job at a precise point after a node failure.\n",
      "• The purpose is to establish a robust framework that supports efficient, scalable, and cost-effective delivery of LLMs and Foundation Models in cloud environments.\n",
      "• Design a flexible and customizable environment for implementing search indexes and embeddings in vector databases to address the unique needs of individual users.\n",
      "• Collaborate with AI researchers and cloud and container infrastructure groups to develop and execute essential functionalities.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical field degree such as Computer Science or Computer Engineering is required for a Bachelor's program.\n",
      "• It is essential to have at least six years of experience designing and constructing distributed computing solutions for handling high volumes of data.\n",
      "• A minimum of six years of coding experience using Python, Go, Scala, or Java is required.\n",
      "• This job opening requires applicants to have one year or more of experience with High-Performance Computing (HPC), vector embedding, or semantic search technologies.\n",
      "• One must possess at least a year's worth of experience in constructing, scaling, and refining training or inferencing systems for deep neural networks.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• The eligibility criteria for this position requires candidates to have completed a graduate degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or an equivalent subject.\n",
      "• Skilled in advanced machine learning techniques, with hands-on experience in deploying large-scale deep neural networks and transformer models in production systems.\n",
      "• Keeping up with the latest advancements in AI requires mastery of machine learning frameworks, including TensorFlow, PyTorch, Lightning, or Mosaic ML.\n",
      "• Agility to adapt and perform effectively in an ambivalent and rapidly changing environment with competing demands and due dates.\n",
      "• Individuals who have worked in technology-driven companies and startups are preferred candidates.\n",
      "• Knowledgeable in deploying intricate neural networks in challenging production environments.\n",
      "• A seasoned expert in the realm of creating GPU clusters in the public cloud, particularly in the area of closely-integrated storage and networking functions.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Reward systems that are based on performance and include monetary incentives, such as cash bonuses and long-term incentives, are known as performance-based incentive compensation.\n",
      "• Supporting the complete wellness of individuals, through a range of benefits covering health, finances, and more.\n",
      "• One of the benefits of working at Capital One is the variety of career paths available for employees, allowing for personal and professional growth.\n",
      "• Creating a supportive and inclusive work environment that enables individuals to grow personally and professionally.\n",
      "\n",
      "About Company:\n",
      "\n",
      "Capital One is committed to creating trustworthy and reliable AI systems that incorporate human input to revolutionize and evolve banking services. Our mission is to incorporate machine learning and AI technology to design automated and intelligent customer services in real-time. Partner with us and help shape the future of banking service delivery for businesses and individuals.\n",
      "-------------------------\n",
      "Principal AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "Capital One is currently in search of a Senior Distinguished Engineer for AI Systems to partake in constructing the base of our company's AI capabilities. As a part of the team, you will work together with AI researchers and engineers to come up with secure and reliable infrastructures, big-scale distributed training clusters, and innovative research and development ventures in the field of AI. The ideal candidate should possess extensive knowledge in cloud environments, machine learning, and distributed computing, and must have a strong motivation to lead the banking industry towards continuous innovation.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Develop a durable infrastructure to support lengthy, high-stakes training processes that depend on container and checkpointing libraries.\n",
      "• Establishing a robust infrastructure to support the deployment and operation of large machine learning models is crucial within our public cloud environment.\n",
      "• In order to enhance the efficiency of training tasks, a large-scale training cluster with a thousand nodes can be deployed and optimized in the public cloud, focusing on the optimization of storage and networking stack.\n",
      "• Develop and execute performance tests on AI software systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance.\n",
      "• Utilize big language models (LLMs) and feature models (FMs) to design and create innovative applications that meet end-user demands.\n",
      "• Developing and integrating continuous integration/continuous delivery (CI/CD) pipelines into MLOps workflows can streamline the deployment of foundation models.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical degree, such as Computer Science or Computer Engineering at the Bachelor's level, is necessary for this position.\n",
      "• With more than seven years of expertise, I specialize in developing distributed computing, high-performance computing (HPC), and extensive machine learning (ML) systems.\n",
      "• Proficient in Python or C/C++, with valuable expertise in developing AI and ML algorithms gained over 5+ years of experience.\n",
      "• My expertise spans over 3 years in the entire machine language development process, utilizing frameworks for artificial intelligence and machine learning in conjunction with the public cloud.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Possession of a Master's degree or PhD in Engineering, Computer Science, or a related technical field, or an equivalent practical experience that centers on modern AI techniques is required.\n",
      "• Proficient in developing extensive distributed systems within cloud environments like AWS, Azure or GCP.\n",
      "• With a proven track record of designing cloud systems for a wide range of industries, the candidate has extensive experience in ensuring the security, availability, performance, scalability, and cost-effectiveness of these systems.\n",
      "• Successfully navigating the MLOps life cycle to deliver extensive models has been a key area of expertise in our team.\n",
      "• Creating GPU clusters in the public cloud while integrating storage and networking in a closely-knit manner has been a challenging but rewarding experience.\n",
      "• Proficient in utilizing the full technology stack for the distributed training of large models, encompassing machine learning compilers, frameworks for distributed training, and ML development platforms including PyTorch, TensorFlow, Lightning, and others.\n",
      "• Proficient in utilizing AI technology stack encompassing areas such as prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, and fine-tuning to deliver high-quality results.\n",
      "• Scientific papers presented at highly-regarded conferences or notable contributions in the field of neural networks, distributed training, and systems modeling language (SysML).\n",
      "\n",
      "Benefits of the Posiiton:\n",
      "• Monetary rewards based on performance, including bonuses and incentives for the long-term, are known as performance-based incentive compensation.\n",
      "• Our benefits package covers everything you need to ensure your overall well-being, from healthcare to financial incentives.\n",
      "• Capital One offers several avenues for professional advancement and personal growth for its employees.\n",
      "• The workplace nurtures growth and development by promoting an inclusive and supportive atmosphere.\n",
      "\n",
      "About Company:\n",
      "\n",
      "At Capital One, our mission is centered around constructing AI systems that are dependable, ethical, and incorporate human input, enhancing the financial industry. Our primary attention is on AI and machine learning advancements that will bring about automated and intelligent customer support. With our extensive utilization of machine learning platforms and public cloud infrastructure, we possess the necessary resources to capitalize on AI's potential. Joining us will enable you to participate in the reconstruction of how we serve clients and corporations while making a substantial impact on the future of banking.\n",
      "-------------------------\n",
      "Chief AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "If you want to partake in shaping Capital One's AI capabilities, we require a Lead Generative AI Infrastructure Engineer to join our team. This role will involve several interventions, such as instituting extensive, distributed training clusters, mounting Large-Language Models (LLMs) on GPU instances to be deployed in real-time operations, and rendering active support for advanced AI research and development. The optimal candidate must establish a close collaboration with cloud and container infrastructure teams, including AI researchers, to realize essential functionalities.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• For efficient large-scale computations, it is crucial to deploy distributed training clusters in the public cloud with an optimized storage and networking stack.\n",
      "• Incorporate strategies that allow distributed systems to perform long-running training experiments even in the presence of failures. One effective strategy is to use load-balancing schedulers with a check-pointing library to enable the resumption of the job at a precise point after a node failure.\n",
      "• The purpose is to establish a robust framework that supports efficient, scalable, and cost-effective delivery of LLMs and Foundation Models in cloud environments.\n",
      "• Design a flexible and customizable environment for implementing search indexes and embeddings in vector databases to address the unique needs of individual users.\n",
      "• Collaborate with AI researchers and cloud and container infrastructure groups to develop and execute essential functionalities.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical field degree such as Computer Science or Computer Engineering is required for a Bachelor's program.\n",
      "• It is essential to have at least six years of experience designing and constructing distributed computing solutions for handling high volumes of data.\n",
      "• A minimum of six years of coding experience using Python, Go, Scala, or Java is required.\n",
      "• This job opening requires applicants to have one year or more of experience with High-Performance Computing (HPC), vector embedding, or semantic search technologies.\n",
      "• One must possess at least a year's worth of experience in constructing, scaling, and refining training or inferencing systems for deep neural networks.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• The eligibility criteria for this position requires candidates to have completed a graduate degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or an equivalent subject.\n",
      "• Skilled in advanced machine learning techniques, with hands-on experience in deploying large-scale deep neural networks and transformer models in production systems.\n",
      "• Keeping up with the latest advancements in AI requires mastery of machine learning frameworks, including TensorFlow, PyTorch, Lightning, or Mosaic ML.\n",
      "• Agility to adapt and perform effectively in an ambivalent and rapidly changing environment with competing demands and due dates.\n",
      "• Individuals who have worked in technology-driven companies and startups are preferred candidates.\n",
      "• Knowledgeable in deploying intricate neural networks in challenging production environments.\n",
      "• A seasoned expert in the realm of creating GPU clusters in the public cloud, particularly in the area of closely-integrated storage and networking functions.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Reward systems that are based on performance and include monetary incentives, such as cash bonuses and long-term incentives, are known as performance-based incentive compensation.\n",
      "• Supporting the complete wellness of individuals, through a range of benefits covering health, finances, and more.\n",
      "• One of the benefits of working at Capital One is the variety of career paths available for employees, allowing for personal and professional growth.\n",
      "• Creating a supportive and inclusive work environment that enables individuals to grow personally and professionally.\n",
      "\n",
      "About Company:\n",
      "\n",
      "Capital One is committed to creating trustworthy and reliable AI systems that incorporate human input to revolutionize and evolve banking services. Our mission is to incorporate machine learning and AI technology to design automated and intelligent customer services in real-time. Partner with us and help shape the future of banking service delivery for businesses and individuals.\n",
      "-------------------------\n",
      "Chief AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "If you want to partake in shaping Capital One's AI capabilities, we require a Lead Generative AI Infrastructure Engineer to join our team. This role will involve several interventions, such as instituting extensive, distributed training clusters, mounting Large-Language Models (LLMs) on GPU instances to be deployed in real-time operations, and rendering active support for advanced AI research and development. The optimal candidate must establish a close collaboration with cloud and container infrastructure teams, including AI researchers, to realize essential functionalities.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• For efficient large-scale computations, it is crucial to deploy distributed training clusters in the public cloud with an optimized storage and networking stack.\n",
      "• Incorporate strategies that allow distributed systems to perform long-running training experiments even in the presence of failures. One effective strategy is to use load-balancing schedulers with a check-pointing library to enable the resumption of the job at a precise point after a node failure.\n",
      "• The purpose is to establish a robust framework that supports efficient, scalable, and cost-effective delivery of LLMs and Foundation Models in cloud environments.\n",
      "• Design a flexible and customizable environment for implementing search indexes and embeddings in vector databases to address the unique needs of individual users.\n",
      "• Collaborate with AI researchers and cloud and container infrastructure groups to develop and execute essential functionalities.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical field degree such as Computer Science or Computer Engineering is required for a Bachelor's program.\n",
      "• It is essential to have at least six years of experience designing and constructing distributed computing solutions for handling high volumes of data.\n",
      "• A minimum of six years of coding experience using Python, Go, Scala, or Java is required.\n",
      "• This job opening requires applicants to have one year or more of experience with High-Performance Computing (HPC), vector embedding, or semantic search technologies.\n",
      "• One must possess at least a year's worth of experience in constructing, scaling, and refining training or inferencing systems for deep neural networks.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• The eligibility criteria for this position requires candidates to have completed a graduate degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or an equivalent subject.\n",
      "• Skilled in advanced machine learning techniques, with hands-on experience in deploying large-scale deep neural networks and transformer models in production systems.\n",
      "• Keeping up with the latest advancements in AI requires mastery of machine learning frameworks, including TensorFlow, PyTorch, Lightning, or Mosaic ML.\n",
      "• Agility to adapt and perform effectively in an ambivalent and rapidly changing environment with competing demands and due dates.\n",
      "• Individuals who have worked in technology-driven companies and startups are preferred candidates.\n",
      "• Knowledgeable in deploying intricate neural networks in challenging production environments.\n",
      "• A seasoned expert in the realm of creating GPU clusters in the public cloud, particularly in the area of closely-integrated storage and networking functions.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Reward systems that are based on performance and include monetary incentives, such as cash bonuses and long-term incentives, are known as performance-based incentive compensation.\n",
      "• Supporting the complete wellness of individuals, through a range of benefits covering health, finances, and more.\n",
      "• One of the benefits of working at Capital One is the variety of career paths available for employees, allowing for personal and professional growth.\n",
      "• Creating a supportive and inclusive work environment that enables individuals to grow personally and professionally.\n",
      "\n",
      "About Company:\n",
      "\n",
      "Capital One is committed to creating trustworthy and reliable AI systems that incorporate human input to revolutionize and evolve banking services. Our mission is to incorporate machine learning and AI technology to design automated and intelligent customer services in real-time. Partner with us and help shape the future of banking service delivery for businesses and individuals.\n",
      "-------------------------\n",
      "Principal AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "Capital One is currently in search of a Senior Distinguished Engineer for AI Systems to partake in constructing the base of our company's AI capabilities. As a part of the team, you will work together with AI researchers and engineers to come up with secure and reliable infrastructures, big-scale distributed training clusters, and innovative research and development ventures in the field of AI. The ideal candidate should possess extensive knowledge in cloud environments, machine learning, and distributed computing, and must have a strong motivation to lead the banking industry towards continuous innovation.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Develop a durable infrastructure to support lengthy, high-stakes training processes that depend on container and checkpointing libraries.\n",
      "• Establishing a robust infrastructure to support the deployment and operation of large machine learning models is crucial within our public cloud environment.\n",
      "• In order to enhance the efficiency of training tasks, a large-scale training cluster with a thousand nodes can be deployed and optimized in the public cloud, focusing on the optimization of storage and networking stack.\n",
      "• Develop and execute performance tests on AI software systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance.\n",
      "• Utilize big language models (LLMs) and feature models (FMs) to design and create innovative applications that meet end-user demands.\n",
      "• Developing and integrating continuous integration/continuous delivery (CI/CD) pipelines into MLOps workflows can streamline the deployment of foundation models.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical degree, such as Computer Science or Computer Engineering at the Bachelor's level, is necessary for this position.\n",
      "• With more than seven years of expertise, I specialize in developing distributed computing, high-performance computing (HPC), and extensive machine learning (ML) systems.\n",
      "• Proficient in Python or C/C++, with valuable expertise in developing AI and ML algorithms gained over 5+ years of experience.\n",
      "• My expertise spans over 3 years in the entire machine language development process, utilizing frameworks for artificial intelligence and machine learning in conjunction with the public cloud.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Possession of a Master's degree or PhD in Engineering, Computer Science, or a related technical field, or an equivalent practical experience that centers on modern AI techniques is required.\n",
      "• Proficient in developing extensive distributed systems within cloud environments like AWS, Azure or GCP.\n",
      "• With a proven track record of designing cloud systems for a wide range of industries, the candidate has extensive experience in ensuring the security, availability, performance, scalability, and cost-effectiveness of these systems.\n",
      "• Successfully navigating the MLOps life cycle to deliver extensive models has been a key area of expertise in our team.\n",
      "• Creating GPU clusters in the public cloud while integrating storage and networking in a closely-knit manner has been a challenging but rewarding experience.\n",
      "• Proficient in utilizing the full technology stack for the distributed training of large models, encompassing machine learning compilers, frameworks for distributed training, and ML development platforms including PyTorch, TensorFlow, Lightning, and others.\n",
      "• Proficient in utilizing AI technology stack encompassing areas such as prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, and fine-tuning to deliver high-quality results.\n",
      "• Scientific papers presented at highly-regarded conferences or notable contributions in the field of neural networks, distributed training, and systems modeling language (SysML).\n",
      "\n",
      "Benefits of the Posiiton:\n",
      "• Monetary rewards based on performance, including bonuses and incentives for the long-term, are known as performance-based incentive compensation.\n",
      "• Our benefits package covers everything you need to ensure your overall well-being, from healthcare to financial incentives.\n",
      "• Capital One offers several avenues for professional advancement and personal growth for its employees.\n",
      "• The workplace nurtures growth and development by promoting an inclusive and supportive atmosphere.\n",
      "\n",
      "About Company:\n",
      "\n",
      "At Capital One, our mission is centered around constructing AI systems that are dependable, ethical, and incorporate human input, enhancing the financial industry. Our primary attention is on AI and machine learning advancements that will bring about automated and intelligent customer support. With our extensive utilization of machine learning platforms and public cloud infrastructure, we possess the necessary resources to capitalize on AI's potential. Joining us will enable you to participate in the reconstruction of how we serve clients and corporations while making a substantial impact on the future of banking.\n",
      "-------------------------\n",
      "Senior Generative AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "This position is for a Lead Engineer in Generative AI Product Engineering at Capital One. The successful candidate will be in charge of developing and maintaining APIs and SDKs that are used to train, fine-tune, and access AI models on a larger scale. The candidate will work alongside a team of ingenious AI engineers and researchers that aim to develop and execute key API products and services necessary for speedy solutions in customer-facing applications.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Create, build, and release necessary APIs and software development kits that enable users to utilize Large-Language Models (LLMs) and unique Foundation Models (FMs) for tasks such as training, fine-tuning, and prompting.\n",
      "• Real-time APIs can benefit from the use of websockets, which enable bi-directional communication between clients and servers in real time.\n",
      "• Leverage the power of LLMs and FMs to create interfaces that are tailored to the unique requirements of different applications, ultimately enhancing the customer experience.\n",
      "• Allow users to develop advanced Generative AI capabilities.\n",
      "• Developing efficient monitoring systems to keep track of the API usage metrics and the operational state can contribute to successful management of operations.\n",
      "• Employ AI safety measures to address risks and prevent unwanted outcomes in the API layer.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A bachelor’s degree in Computer Science, Computer Engineering, or a related technical field is an essential requirement to apply for this position.\n",
      "• The role calls for a record of at least 6 years in creating and building data-intensive solutions utilizing distributed computing and cache optimization approaches.\n",
      "• Knowledge of Python, Scala, Java, or Go programming with at least 6 years of experience is an imperative factor for the ideal candidate.\n",
      "• To be considered for this role, the applicant must have a proven track record of creating, scaling, and optimizing training or inferencing systems for deep neural networks for one year or more.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Candidates must have vast knowledge of building and scaling NLP, speech, computer vision, or recommendation systems designed for massive audiences served by AI products or platforms.\n",
      "• Being able to perform well in a fast-moving workplace with multiple priorities and unclear outcomes by remaining calm and focused.\n",
      "• Experience in tech and innovation-centered firms is preferred by employers.\n",
      "• Acquaintance with strategically implementing and deploying massive neural network models in demanding production environments.\n",
      "• Knowledge of cloud computing providers and cloud architecture such as AWS, Google Cloud, and Azure, and the cloud security and resilience techniques to ensure the security of the cloud architecture and network infrastructure.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Employees who receive a performance-based incentive compensation package, which includes financial bonuses and other non-monetary benefits, are more likely to be motivated to perform their duties efficiently and effectively.\n",
      "• A complete benefits package that aims to support employees' physical, emotional, and financial wellness.\n",
      "• The company fosters a supportive environment that is conducive to professional growth and development.\n",
      "• Cultivate growth both in work and personal areas in a supportive and inclusive workplace environment.\n",
      "\n",
      "About Company:\n",
      "\n",
      "By leveraging paradigm-shifting AI technologies and effective machine learning algorithms, we're revolutionizing the banking industry for the betterment of our customers.\n",
      "-------------------------\n",
      "Senior Generative AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "This position is for a Lead Engineer in Generative AI Product Engineering at Capital One. The successful candidate will be in charge of developing and maintaining APIs and SDKs that are used to train, fine-tune, and access AI models on a larger scale. The candidate will work alongside a team of ingenious AI engineers and researchers that aim to develop and execute key API products and services necessary for speedy solutions in customer-facing applications.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Create, build, and release necessary APIs and software development kits that enable users to utilize Large-Language Models (LLMs) and unique Foundation Models (FMs) for tasks such as training, fine-tuning, and prompting.\n",
      "• Real-time APIs can benefit from the use of websockets, which enable bi-directional communication between clients and servers in real time.\n",
      "• Leverage the power of LLMs and FMs to create interfaces that are tailored to the unique requirements of different applications, ultimately enhancing the customer experience.\n",
      "• Allow users to develop advanced Generative AI capabilities.\n",
      "• Developing efficient monitoring systems to keep track of the API usage metrics and the operational state can contribute to successful management of operations.\n",
      "• Employ AI safety measures to address risks and prevent unwanted outcomes in the API layer.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A bachelor’s degree in Computer Science, Computer Engineering, or a related technical field is an essential requirement to apply for this position.\n",
      "• The role calls for a record of at least 6 years in creating and building data-intensive solutions utilizing distributed computing and cache optimization approaches.\n",
      "• Knowledge of Python, Scala, Java, or Go programming with at least 6 years of experience is an imperative factor for the ideal candidate.\n",
      "• To be considered for this role, the applicant must have a proven track record of creating, scaling, and optimizing training or inferencing systems for deep neural networks for one year or more.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Candidates must have vast knowledge of building and scaling NLP, speech, computer vision, or recommendation systems designed for massive audiences served by AI products or platforms.\n",
      "• Being able to perform well in a fast-moving workplace with multiple priorities and unclear outcomes by remaining calm and focused.\n",
      "• Experience in tech and innovation-centered firms is preferred by employers.\n",
      "• Acquaintance with strategically implementing and deploying massive neural network models in demanding production environments.\n",
      "• Knowledge of cloud computing providers and cloud architecture such as AWS, Google Cloud, and Azure, and the cloud security and resilience techniques to ensure the security of the cloud architecture and network infrastructure.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Employees who receive a performance-based incentive compensation package, which includes financial bonuses and other non-monetary benefits, are more likely to be motivated to perform their duties efficiently and effectively.\n",
      "• A complete benefits package that aims to support employees' physical, emotional, and financial wellness.\n",
      "• The company fosters a supportive environment that is conducive to professional growth and development.\n",
      "• Cultivate growth both in work and personal areas in a supportive and inclusive workplace environment.\n",
      "\n",
      "About Company:\n",
      "\n",
      "By leveraging paradigm-shifting AI technologies and effective machine learning algorithms, we're revolutionizing the banking industry for the betterment of our customers.\n",
      "-------------------------\n",
      "Senior Generative AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "This position is for a Lead Engineer in Generative AI Product Engineering at Capital One. The successful candidate will be in charge of developing and maintaining APIs and SDKs that are used to train, fine-tune, and access AI models on a larger scale. The candidate will work alongside a team of ingenious AI engineers and researchers that aim to develop and execute key API products and services necessary for speedy solutions in customer-facing applications.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Create, build, and release necessary APIs and software development kits that enable users to utilize Large-Language Models (LLMs) and unique Foundation Models (FMs) for tasks such as training, fine-tuning, and prompting.\n",
      "• Real-time APIs can benefit from the use of websockets, which enable bi-directional communication between clients and servers in real time.\n",
      "• Leverage the power of LLMs and FMs to create interfaces that are tailored to the unique requirements of different applications, ultimately enhancing the customer experience.\n",
      "• Allow users to develop advanced Generative AI capabilities.\n",
      "• Developing efficient monitoring systems to keep track of the API usage metrics and the operational state can contribute to successful management of operations.\n",
      "• Employ AI safety measures to address risks and prevent unwanted outcomes in the API layer.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A bachelor’s degree in Computer Science, Computer Engineering, or a related technical field is an essential requirement to apply for this position.\n",
      "• The role calls for a record of at least 6 years in creating and building data-intensive solutions utilizing distributed computing and cache optimization approaches.\n",
      "• Knowledge of Python, Scala, Java, or Go programming with at least 6 years of experience is an imperative factor for the ideal candidate.\n",
      "• To be considered for this role, the applicant must have a proven track record of creating, scaling, and optimizing training or inferencing systems for deep neural networks for one year or more.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Candidates must have vast knowledge of building and scaling NLP, speech, computer vision, or recommendation systems designed for massive audiences served by AI products or platforms.\n",
      "• Being able to perform well in a fast-moving workplace with multiple priorities and unclear outcomes by remaining calm and focused.\n",
      "• Experience in tech and innovation-centered firms is preferred by employers.\n",
      "• Acquaintance with strategically implementing and deploying massive neural network models in demanding production environments.\n",
      "• Knowledge of cloud computing providers and cloud architecture such as AWS, Google Cloud, and Azure, and the cloud security and resilience techniques to ensure the security of the cloud architecture and network infrastructure.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Employees who receive a performance-based incentive compensation package, which includes financial bonuses and other non-monetary benefits, are more likely to be motivated to perform their duties efficiently and effectively.\n",
      "• A complete benefits package that aims to support employees' physical, emotional, and financial wellness.\n",
      "• The company fosters a supportive environment that is conducive to professional growth and development.\n",
      "• Cultivate growth both in work and personal areas in a supportive and inclusive workplace environment.\n",
      "\n",
      "About Company:\n",
      "\n",
      "By leveraging paradigm-shifting AI technologies and effective machine learning algorithms, we're revolutionizing the banking industry for the betterment of our customers.\n",
      "-------------------------\n",
      "Principal AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "Capital One is currently in search of a Senior Distinguished Engineer for AI Systems to partake in constructing the base of our company's AI capabilities. As a part of the team, you will work together with AI researchers and engineers to come up with secure and reliable infrastructures, big-scale distributed training clusters, and innovative research and development ventures in the field of AI. The ideal candidate should possess extensive knowledge in cloud environments, machine learning, and distributed computing, and must have a strong motivation to lead the banking industry towards continuous innovation.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Develop a durable infrastructure to support lengthy, high-stakes training processes that depend on container and checkpointing libraries.\n",
      "• Establishing a robust infrastructure to support the deployment and operation of large machine learning models is crucial within our public cloud environment.\n",
      "• In order to enhance the efficiency of training tasks, a large-scale training cluster with a thousand nodes can be deployed and optimized in the public cloud, focusing on the optimization of storage and networking stack.\n",
      "• Develop and execute performance tests on AI software systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance.\n",
      "• Utilize big language models (LLMs) and feature models (FMs) to design and create innovative applications that meet end-user demands.\n",
      "• Developing and integrating continuous integration/continuous delivery (CI/CD) pipelines into MLOps workflows can streamline the deployment of foundation models.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical degree, such as Computer Science or Computer Engineering at the Bachelor's level, is necessary for this position.\n",
      "• With more than seven years of expertise, I specialize in developing distributed computing, high-performance computing (HPC), and extensive machine learning (ML) systems.\n",
      "• Proficient in Python or C/C++, with valuable expertise in developing AI and ML algorithms gained over 5+ years of experience.\n",
      "• My expertise spans over 3 years in the entire machine language development process, utilizing frameworks for artificial intelligence and machine learning in conjunction with the public cloud.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Possession of a Master's degree or PhD in Engineering, Computer Science, or a related technical field, or an equivalent practical experience that centers on modern AI techniques is required.\n",
      "• Proficient in developing extensive distributed systems within cloud environments like AWS, Azure or GCP.\n",
      "• With a proven track record of designing cloud systems for a wide range of industries, the candidate has extensive experience in ensuring the security, availability, performance, scalability, and cost-effectiveness of these systems.\n",
      "• Successfully navigating the MLOps life cycle to deliver extensive models has been a key area of expertise in our team.\n",
      "• Creating GPU clusters in the public cloud while integrating storage and networking in a closely-knit manner has been a challenging but rewarding experience.\n",
      "• Proficient in utilizing the full technology stack for the distributed training of large models, encompassing machine learning compilers, frameworks for distributed training, and ML development platforms including PyTorch, TensorFlow, Lightning, and others.\n",
      "• Proficient in utilizing AI technology stack encompassing areas such as prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, and fine-tuning to deliver high-quality results.\n",
      "• Scientific papers presented at highly-regarded conferences or notable contributions in the field of neural networks, distributed training, and systems modeling language (SysML).\n",
      "\n",
      "Benefits of the Posiiton:\n",
      "• Monetary rewards based on performance, including bonuses and incentives for the long-term, are known as performance-based incentive compensation.\n",
      "• Our benefits package covers everything you need to ensure your overall well-being, from healthcare to financial incentives.\n",
      "• Capital One offers several avenues for professional advancement and personal growth for its employees.\n",
      "• The workplace nurtures growth and development by promoting an inclusive and supportive atmosphere.\n",
      "\n",
      "About Company:\n",
      "\n",
      "At Capital One, our mission is centered around constructing AI systems that are dependable, ethical, and incorporate human input, enhancing the financial industry. Our primary attention is on AI and machine learning advancements that will bring about automated and intelligent customer support. With our extensive utilization of machine learning platforms and public cloud infrastructure, we possess the necessary resources to capitalize on AI's potential. Joining us will enable you to participate in the reconstruction of how we serve clients and corporations while making a substantial impact on the future of banking.\n",
      "-------------------------\n",
      "Senior Generative AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "This position is for a Lead Engineer in Generative AI Product Engineering at Capital One. The successful candidate will be in charge of developing and maintaining APIs and SDKs that are used to train, fine-tune, and access AI models on a larger scale. The candidate will work alongside a team of ingenious AI engineers and researchers that aim to develop and execute key API products and services necessary for speedy solutions in customer-facing applications.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Create, build, and release necessary APIs and software development kits that enable users to utilize Large-Language Models (LLMs) and unique Foundation Models (FMs) for tasks such as training, fine-tuning, and prompting.\n",
      "• Real-time APIs can benefit from the use of websockets, which enable bi-directional communication between clients and servers in real time.\n",
      "• Leverage the power of LLMs and FMs to create interfaces that are tailored to the unique requirements of different applications, ultimately enhancing the customer experience.\n",
      "• Allow users to develop advanced Generative AI capabilities.\n",
      "• Developing efficient monitoring systems to keep track of the API usage metrics and the operational state can contribute to successful management of operations.\n",
      "• Employ AI safety measures to address risks and prevent unwanted outcomes in the API layer.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A bachelor’s degree in Computer Science, Computer Engineering, or a related technical field is an essential requirement to apply for this position.\n",
      "• The role calls for a record of at least 6 years in creating and building data-intensive solutions utilizing distributed computing and cache optimization approaches.\n",
      "• Knowledge of Python, Scala, Java, or Go programming with at least 6 years of experience is an imperative factor for the ideal candidate.\n",
      "• To be considered for this role, the applicant must have a proven track record of creating, scaling, and optimizing training or inferencing systems for deep neural networks for one year or more.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Candidates must have vast knowledge of building and scaling NLP, speech, computer vision, or recommendation systems designed for massive audiences served by AI products or platforms.\n",
      "• Being able to perform well in a fast-moving workplace with multiple priorities and unclear outcomes by remaining calm and focused.\n",
      "• Experience in tech and innovation-centered firms is preferred by employers.\n",
      "• Acquaintance with strategically implementing and deploying massive neural network models in demanding production environments.\n",
      "• Knowledge of cloud computing providers and cloud architecture such as AWS, Google Cloud, and Azure, and the cloud security and resilience techniques to ensure the security of the cloud architecture and network infrastructure.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Employees who receive a performance-based incentive compensation package, which includes financial bonuses and other non-monetary benefits, are more likely to be motivated to perform their duties efficiently and effectively.\n",
      "• A complete benefits package that aims to support employees' physical, emotional, and financial wellness.\n",
      "• The company fosters a supportive environment that is conducive to professional growth and development.\n",
      "• Cultivate growth both in work and personal areas in a supportive and inclusive workplace environment.\n",
      "\n",
      "About Company:\n",
      "\n",
      "By leveraging paradigm-shifting AI technologies and effective machine learning algorithms, we're revolutionizing the banking industry for the betterment of our customers.\n",
      "-------------------------\n",
      "MuleSoft, a Salesforce company, is defining the application network category and reinventing the $1Bn IT integration market. This rapid growth drives the urgent need to scale our AI and ML team quickly and efficiently. Our team’s mission is to empower MuleSoft users to use the power of AI, specifically GenAI and NLP to enhance their productivity.\n",
      "\n",
      "As the principal engineer of AI, your role will be leading AI ML initiatives, where work ranges from implementing novel research models to rapid-prototyping demos and to bringing innovative AI features for customer adoption and use at scale in production. You will work closely with product managers, software architects and AI/ML and software engineers to be responsible for the development of experiments, prototypes and build production grade innovative generative AI features, products and services that enhance MuleSoft developers productivity.\n",
      "\n",
      "You are hands-on and have strong programming skills and background in one or more of the following AI/ML domains: deep learning, natural language processing (NLP), and analytics.\n",
      "\n",
      "Responsibilities\n",
      "• Lead AI initiatives and deliver impact and value to grow the MuleSoft business\n",
      "• Work with product managers, architects, domain guides and other teams to translate business requirements into critical metrics and models.\n",
      "• Work with the PMs and leadership to align with the AI LRP and define PRDs, 3RR.\n",
      "• Work multi-functionally with legal, compliance and security teams as needed.\n",
      "• Develop solutions for real-world problems on code generation and recommendation.\n",
      "• Enhance multi-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams.\n",
      "• Architect, design, enhance and drive the implementation of AI initiatives.\n",
      "• Identify, document and promote, implement, monitor and continuously improve standard methodologies.\n",
      "• Design, prototype and build Gen AI capabilities for high-quality, scale and robustness.\n",
      "• Enable a team culture of critical thinking, creativity, innovation, experimentation, diversity, and inclusivity that aligns with Salesforce core values that enriches the impact, careers, and learning opportunities across the Digital team.\n",
      "• Build and mentor a high performing AI/ML engineering team.\n",
      "• Bring visibility to the team by presenting at tech talks, conferences, etc. or publishing technical papers, blog posts, etc.\n",
      "• Help recruit, mentor, and retrain a world-class AI/ML team and participate in recruitment as we scale within MuleSoft.\n",
      "• Have a clear pulse on innovation across AI, NLP, LLMs and AI safety and fairness.\n",
      "\n",
      "Desired Qualifications:\n",
      "• 10+ years of experience with one or more ML, NLP and DL libraries (e.g., sklearn, TensorFlow, PyTorch, SpaCy, HuggingFace..).\n",
      "• Knowledge and experience of Generative AI models (e.g. LLMs, LAMs) and RAG.\n",
      "• Exposure to industry or academic research, particularly in NLP, LLMs, Dense Information Retrieval.\n",
      "• Experience with machine learning platforms and distributed systems such as AWS sagemaker, Google Cloud Vertex AI, Azure ML Studio, Databricks, ...\n",
      "• Ability to program in one or more scripting languages (Python, Pearl) and programming languages (Java, Scala).\n",
      "• Experience with data encryption, tokenization, and other data protection methods.\n",
      "• Experience with other AWS services (Redshift, S3, EC2, etc).\n",
      "• Experience and understanding of AI features life-cycle from ideation to production and maintenance.\n",
      "• Strong understanding of software architecture principles, microservices, and containerization.\n",
      "• Experience building custom integrations with SaaS applications using REST API is a plus.\n",
      "• Proven track record of delivering outstanding high impact projects in dynamic settings.\n",
      "• Driven by the opportunity to create products, with a get-it-done mindset and a strong bias towards action.\n",
      "-------------------------\n",
      "Minimum 5 yrs in given technologies is must\n",
      "\n",
      "What you will do:\n",
      "Design and develop machine learning algorithms and deep learning applications and systems.\n",
      "Possess deep experience in time series prediction models with E-commerce/retail use cases.\n",
      "Solve complex problems using multilayered data sets, including optimizing existing machine learning libraries and frameworks.\n",
      "Identify potential biases in data distribution and mitigate their impact on real-world model performance.\n",
      "Ensure algorithms generate accurate and effective user recommendations.\n",
      "Conduct machine learning testing and experimentation, documenting findings and results.\n",
      "Train, retrain, and monitor machine learning systems and models as needed.\n",
      "\n",
      "Skills and Preferred Qualifications:\n",
      "Impeccable analytical and problem-solving skills\n",
      "Strong math and computer skills, with a deep understanding of probability, statistics, and algorithms.\n",
      "In-depth knowledge of machine learning frameworks, like Scikit-Learn PyTorch,TensorFlow\n",
      "Experience in time series prediction models with E-commerce/retail use cases.\n",
      "Familiarity with data structures, data modeling, and software architecture.\n",
      "Deep experience in working with Python, Java, and R.\n",
      "\n",
      "Strong SQL programming skills\n",
      "Expertise of building machine learning systems and Hyper parameter tuning\n",
      "Bachelor's degree (or equivalent) in computer science, mathematics, or a related field.\n",
      "-------------------------\n",
      "TRAC Intermodal, a leading provider of intermodal chassis and services, is seeking a highly skilled Artificial Intelligence Engineer to join our team and help develop cutting-edge AI solutions using generative AI, neuro-linguistic programming (NLP), computer vision, and chatbots. The successful candidate will be responsible for designing, building, and deploying AI models to solve complex problems for the transportation and logistics industry. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.\n",
      "\n",
      "Essential Responsibilities/Duties/Functions/Tasks:\n",
      "• Collaborate with cross-functional teams to understand business requirements and deliver AI solutions.\n",
      "• Customize and tailor existing generative AI technologies such as ChatGPT and Copilot.\n",
      "• Develop and implement machine learning algorithms and models.\n",
      "• Analyze and extract insights from large data sets.\n",
      "• Research and stay up to date on the latest trends in artificial intelligence and machine learning.\n",
      "• Optimize AI models for performance, scalability, and efficiency.\n",
      "• Collect, organize, and present progress to team leadership and stakeholders.\n",
      "\n",
      "Required Qualifications\n",
      "• Bachelor's degree in computer science, engineering, or related field.\n",
      "• Two or more years of experience in applying AI to practical and comprehensive technology solutions as an AI engineer or similar role.\n",
      "• Proven experience working in artificial intelligence, machine learning, and data science.\n",
      "• Strong mathematical and statistical background.\n",
      "• Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.\n",
      "• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns.\n",
      "• Strong analytical and problem-solving skills, crucial for algorithm development and data analysis.\n",
      "• Exceptional communication skills, enabling effective collaboration with both technical teams and business stakeholders to translate AI capabilities into business value.\n",
      "• Strong interpersonal skills and a willingness to collaborate cross-functionally with different teams.\n",
      "• Ability to communicate technical issues to non-technical business colleagues.\n",
      "• Proven ability to meet deadlines.\n",
      "\n",
      "Technical Qualifications\n",
      "• Hands-on experience with machine learning, deep learning, LLM, and NLP.\n",
      "• Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.\n",
      "• Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.\n",
      "• Proficiency in programming languages such as Python, Java, or C++.\n",
      "• Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras is a plus.\n",
      "• Experience working with Microsoft Copilot.\n",
      "• Knowledge of cloud services like AWS, Azure, or Google Cloud Platform.\n",
      "• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.\n",
      "\n",
      "Preferred Qualifications\n",
      "• Master's degree in computer science, engineering, or related field.\n",
      "• Experience in customizing AI solutions such as ChatGPT and Copilot.\n",
      "• Experience with Retrieval-Augmented Generation (RAG) applications with LangChain.\n",
      "• Strong experience working directly with customers & ability to brainstorm concepts.\n",
      "• Strong work ethic, critical thinker.\n",
      "• Specific experience in the intermodal or transportation industries.\n",
      "\n",
      "Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities\n",
      "\n",
      "The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)\n",
      "-------------------------\n",
      "Job Description BAE is looking to add a Senior Level Data Scientist to our growing team. We are looking for Machine Learning and AI experience.\n",
      "\n",
      "This position is in Dulles - full time - onsite - Excellent Benefits\n",
      "\n",
      "This position does require a high-level clearance.\n",
      "\n",
      "Enhance its Artificial Intelligence (AI) and Machine Learning (ML) data science operations, perform a review of mobile forensics results, while working alongside existing teams to integrate new capabilities alongside existing applications.\n",
      "\n",
      "You will be part of a flexible high-performance team that can adapt to world events and provide AI, ML, and other analytic capabilities to support the development of new architectures as well as previously deployed systems.\n",
      "\n",
      "And are required to communicate and collaborate across organizational boundaries, to include other contractor teams across the organization.\n",
      "\n",
      "Required Education, Experience, & Skills What you will be doing\n",
      "\n",
      "Ensure that all developed applications and modifications to existing Sponsor applications comply with Sponsor’s security and architectural policies and regulations.\n",
      "Work closely with an analytics team to exploit data;\n",
      "Apply DevOps principles and philosophies to continuously deliver enhancements to software in a service-based architecture.\n",
      "Support data engineering efforts to transfer, load, and analyze large data sets to derive data relationships.\n",
      "Maintain all source code in Sponsor-wide, Git repositories.\n",
      "Develop and improve upon existing analytic tools and techniques to support mission specific data challenges.\n",
      "\n",
      "Develop and apply data exploitation models and devise creative data exploitation strategies; the\n",
      "\n",
      "Integrate, analyze, evaluate, and assess quantitative data, using statistical software, computer models, geospatial models, software languages, mathematical models, or machine learning, to contribute to or develop IT solutions to requirements such as software tools, analytic models, or reports.\n",
      "\n",
      "Develop scripts to forensically carve content from various database and file formats.\n",
      "Parse artifacts from databases commonly stored on mobile devices.\n",
      "Inspect network traffic to recognize security protocols.\n",
      "Understand and utilize certificate pinning.\n",
      "Decompile mobile application packages.\n",
      "Preferred Education, Experience, & Skills Skills Needed\n",
      "\n",
      "Python Programming -\n",
      "Systems Integration/Engineering -\n",
      "Data Modeling\n",
      "Data Engineering –\n",
      "Artificial Intelligence (AI) / Machine Learning (ML) Modeling -\n",
      "\n",
      "More Details\n",
      "\n",
      "Demonstrated experience working with network inspection tools to capture and analyze network traffic.\n",
      "Demonstrated experience conducting forensic research to enable software development of priority mobile modules for the Sponsor’s enterprise government off the shelf (GOTS) capability.\n",
      "Demonstrated experience defeating certificate pinning while collecting data. Demonstrated experience developing and documenting scripts on Linux OS.\n",
      "Demonstrated experience converting mobile data formats to a common JSON data structure\n",
      "Demonstrated experience acquiring relevant and real time data through credential management.\n",
      "Demonstrated experience developing an ETL pipeline in Python, specifically utilizing the Bonobo framework.\n",
      "Demonstrated experience with digital anti-fraud techniques and technologies.\n",
      "Demonstrated experience and understanding of digital techniques and technologies to mitigate technical signatures.\n",
      "Demonstrated experience with encryption and decryption methodologies\n",
      "Demonstrated experience extracting, transforming, and loading data into common data models utilizing common data engineering services.\n",
      "Demonstrated experience utilizing enterprise APIs.\n",
      "Demonstrated experience building applications for the exploitation of technical data.\n",
      "Demonstrated experience developing analytic platforms.\n",
      "Demonstrated experience building user interfaces for analytic platforms.\n",
      "Demonstrated experience controlling access to data items according to enterprise security models.\n",
      "Demonstrated experience exploiting data that is not in the English language.\n",
      "Demonstrated experience developing machine learning models on text data and structured datasets.\n",
      "Demonstrated experience creating AI and ML models and natural language processing (NLP) models.\n",
      "Demonstrated experience building statistical models and performing predictive analytics.\n",
      "Demonstrated experience building Elasticsearch Indexes\n",
      "\n",
      "Pay Information\n",
      "Full-Time Salary Range: $140690 - $239140\n",
      "\n",
      "Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.\n",
      "\n",
      "Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.\n",
      "About BAE Systems Intelligence & Security BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference.\n",
      "\n",
      "Intelligence & Security (I&S), based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do—from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels.\n",
      "\n",
      "Our Commitment to Diversity, Equity, and Inclusion:\n",
      "At BAE Systems, we work hard every day to nurture an inclusive culture where employees are valued and feel like they belong. We are conscious of the need for all employees to see themselves reflected at every level of the company and know that in order to unlock the full potential of our workforce, everyone must feel confident being their best, most sincere self and be equipped to thrive. We provide impactful professional development experiences to our employees and invest in social impact partnerships to uplift communities and drive purposeful change. Here you will find significant opportunities to do meaningful work in an environment intentionally designed to be one where you will learn, grow and belong.\n",
      "-------------------------\n",
      "Company Description:\n",
      "\n",
      "Our client is a VC-funded startup revolutionizing business development with the power of generative AI. Founded by serial entrepreneurs, they are on a mission to transform the multi-billion dollar government business development space. This is your opportunity to join a unicorn in its earliest stages.\n",
      "\n",
      "Opportunity Description:\n",
      "\n",
      "If you thrive in dynamic, fast-paced startup environments and are passionate about building revolutionary products, we strongly encourage you to apply. Our client is on the hunt for a Principal AI Engineer with a strong startup background, someone who embodies the spirit of an entrepreneur and a product builder.\n",
      "\n",
      "Their team is extremely dedicated and hard-working and they expect the same out of the people that they hire. This is a chance to challenge yourself, level up, and join an early-stage venture that is just beginning to take off.\n",
      "\n",
      "How You Will Make An Impact:\n",
      "• You will be given long periods of uninterrupted time to do what you do best.\n",
      "• You will Implement a fully future gen AI structure that makes it impossible to escape the current multi-agentic framework.\n",
      "• Assume leadership of new projects from conceptualization to deployment.\n",
      "• Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities.\n",
      "\n",
      "Required Skills and Qualifications:\n",
      "• Most importantly: we are looking for the right cultural fit for our client. The ideal candidate is motivated, hungry, and ready to learn & build amazing things.\n",
      "• They're looking for passionate individuals who love building products from the ground up.\n",
      "• A background in startup environments is a must.\n",
      "• 3+ years experience in artificial intelligence.\n",
      "• An understanding of AI fundamentals (chains, generative AI, LLM's).\n",
      "• The tech stack includes Supabase, Next.js, Langchain, LangGraph, TaskWeaver, AutoGen.\n",
      "• Experience with multi-agentic frameworks, plan & respond patterns, multi-vector & multi-modal fusion retrieval techniques, and multi-agnostic layer patterns.\n",
      "• An understanding of OpenAI and Mistral AI.\n",
      "• Please note that all candidates must be United States Citizens in order to be considered for this position.\n",
      "\n",
      "We are an equal-opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.\n",
      "-------------------------\n",
      "Expand your career possibilities.\n",
      "\n",
      "Thank you for dedicating your time and talent to Lowe’s. We want to give you more opportunities to learn and grow, so if you find a position you’re interested in below, we encourage you to apply!\n",
      "\n",
      "Find Your Home to More Possibilities.\n",
      "\n",
      "Job Summary\n",
      "The primary purpose of this role is to translate business requirements and functional specifications into logical program designs and to deliver code modules, stable application systems, and software solutions. This includes developing, configuring, or modifying integrated business and/or enterprise application solutions within various computing environments. This role facilitates the implementation and maintenance of business and enterprise software solutions to ensure successful deployment of released applications.\n",
      "\n",
      "Key Responsibilities\n",
      "• Translates business requirements and specifications into logical program designs, code modules, stable application systems, and software solutions with occasional guidance from senior colleagues; partners with Product Team to understand business needs and functional specifications\n",
      "• Develops, configures, or modifies integrated business and/or enterprise application solutions within various computing environments by designing and coding component-based applications using various programming languages\n",
      "• Tests application using TDD and BDD frameworks (e.g., jest, cypress, mockito, selenium, cucumber, etc.)\n",
      "• Conducts root cause analysis of issues; reviews new and existing code\n",
      "• Implements continuous integration/continuous deployment (CI/CD) processes to ensure quality and efficiency in the development cycle using tools such as Jenkins, Git, Gradle, Spinnaker, JFrog, etc.\n",
      "• Ideates, builds, and publishes reusable libraries to improve productivity across teams\n",
      "• Conducts the implementation and maintenance of complex business and enterprise software solutions to ensure successful deployment of released applications\n",
      "• Solves difficult technical problems; solutions are testable, maintainable, and efficient\n",
      "• Demonstrates strong understanding of at least 1 of the four competencies below with working knowledge of 1 other: • Fronted: Building UI using React and NodeJS with proficiency in JavaScript, TypeScript, HTML and CSS • Middleware: Building resource efficient, scalable, and resilient Microservices and APIs using Java/Python/Go. • Databases: Building optimal database persistence solutions using right database technologies (ex, PostgreSQL, MongoDB, Elasticsearch, Redis, KAFKA etc) • DevOps: Creating automated CI-CD processes using containerization solutions (Docker), CI tools (Drone, Jenkins, Spinnaker), Orchestration (Kubernetes, Helm) and Infrastructure automation (ArgoCD, Rancher, Ansible, Terraform, Chef)\n",
      "• Actively contribute to AI platform development, ensuring the platform remains adaptable and efficient in hosting a variety of ML models. This includes scaling the platform for high performance and integrating new AI capabilities as APIs.\n",
      "• Design, develop, and implement tools and frameworks that support ML experimentation and deployment. Your work will enable the platform to offer advanced AI functionalities seamlessly.\n",
      "• Strategically manage GPU and CPU resources to optimize the execution of AI models. Your expertise will ensure that the platform runs efficiently, balancing performance with cost-effectiveness.\n",
      "• Work closely with data scientists and LLM experts to integrate AI models smoothly into platform. Your role will be pivotal in bridging technical development and AI research, promoting a collaborative environment that fosters innovation.\n",
      "\n",
      "Required Qualifications\n",
      "• Bachelor's Degree in Computer Science, CIS, or related field (or equivalent work experience in a related field)\n",
      "• 2 years of experience in software development or a related field\n",
      "• 2 years of experience in database technologies\n",
      "• 1 year of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)\n",
      "\n",
      "-3 year of experience Python\n",
      "\n",
      "-2 years of experience with FAST API\n",
      "\n",
      "-1 year experience with LLM\n",
      "\n",
      "-2 years of experience in GPU\n",
      "\n",
      "Preferred Qualifications\n",
      "• Master's Degree in Computer Science, CIS, or related field\n",
      "• 2 years of IT experience developing and implementing business systems within an organization\n",
      "• 4 years of experience working with defect or incident tracking software\n",
      "• 4 years of experience with technical documentation in a software development environment\n",
      "• 2 years of experience working with an IT Infrastructure Library (ITIL) framework\n",
      "• 2 years of experience leading teams, with or without direct reports\n",
      "• Experience with application and integration middleware\n",
      "• Experience with database technologies\n",
      "\n",
      "About Lowe’s\n",
      "\n",
      "Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. For more information, visit Lowes.com.\n",
      "\n",
      "Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.\n",
      "-------------------------\n",
      "Chief AI Engineering Lead\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "As a Senior Generative AI Engineer at Capital One, you will play an essential role in the Enterprise AI team, developing and maintaining APIs and SDKs necessary for training and fine-tuning AI models at scale. Collaborate with some of the best AI engineers and researchers in the industry to create innovative API products and services.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Drive the creation, construction, and deployment of carefully managed core APIs and SDKs that help users access Large-Language Models (LLMs) and Foundation Models (FMs). Tasks include training, refining, prompting, and orchestrating SDKs.\n",
      "• Developing APIs with performance optimization features, real-time capabilities, scalability, user-friendliness, and automated governance can contribute to better user experiences.\n",
      "• Build interfaces customized to the strengths of LLMs and FMs, driving engagement and satisfaction for both employees and clients.\n",
      "• By giving users access to the essential infrastructure, a platform is created to encourage the growth and evolution of Generative AI technologies.\n",
      "• Construct systems and measures for examining API usage patterns and guaranteeing optimal operational performance.\n",
      "• Work together with our highly qualified researchers to put in place effective AI safety protocols and reliable guardrails throughout the API layer.\n",
      "• Promote innovative thinking within the field and contribute to the dissemination of knowledge through articles and publications.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• To qualify for this job, interested candidates must have obtained a Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.\n",
      "• Those applying for this position must have a solid background of at least four years in designing, building, and deploying machine learning application systems.\n",
      "• It is essential for candidates to have at least 4 years of programming experience and be highly proficient in Python, Go, Scala, or Java.\n",
      "• Skilled at thriving in dynamic and fast-moving work environments with multiple competing priorities and stringent deadlines, showcasing outstanding time-management skills.\n",
      "• Prior experience in the tech and product-centric sectors can be highly advantageous.\n",
      "• Highlighted proficiency in quickly iterating alongside researchers and engineers to augment product experiences while solidifying foundational skills.\n",
      "• Proficiency in deploying massive neural network architectures in high-stress production environments.\n",
      "• Proficiency in delivering enhanced API security, observability, controlling access to cloud environments, and staying up-to-date with the latest privacy best practices.\n",
      "\n",
      "Benefits of the Position:\n",
      "• A compensation framework designed to encourage superior performance, incorporating variable pay like cash bonuses and long-term incentives.\n",
      "• Inclusive approach to health, financial, and other benefits supporting overall well-being.\n",
      "• Capital One invests in its employees' growth and encourages them to reach their full potential.\n",
      "• A workplace setting that is centered on the development of the individual and the team, promoting diversity and inclusion.\n",
      "\n",
      "About Company:\n",
      "\n",
      "As a leader in transforming the banking industry, Capital One is dedicated to creating AI systems that are built on principles of trust, reliability, and human oversight. Our use of machine learning and AI technologies allows us to deliver intelligent, automated, and instant customer experiences. Join us in our mission to reshape banking by being part of a team that is reimagining how we serve our customers and organizations.\n",
      "-------------------------\n",
      "The Advanced RF Techniques and Systems Group innovates and demonstrates novel algorithms and architectures to impact missions covering the RF electromagnetic spectrum.\n",
      "\n",
      "We collaborate with academia, industry, and the government to demonstrate rigorous solutions to the most important defense problems in wireless communications and sensing. We develop and prototype new techniques for digital signal processing and machine learning to enable multi-function wideband systems. We also apply new multi-channel, multi-beam, multi-function RF aperture technologies and push the boundaries of high-performance computing to address the most relevant technology problems unique to government spectrum operations.\n",
      "\n",
      "Job Description:\n",
      "\n",
      "The Group is seeking creative and enthusiastic candidates with an interest in applying signal processing and artificial intelligence techniques to develop novel algorithms that enable new capabilities in next-generation RF communication systems. Typical assignments include algorithm design, analysis, and implementation; communication system analysis; software and hardware prototyping and test activities; documentation and planning; and field experimentation, data collection, and post-experiment analysis.\n",
      "\n",
      "Required Skills:\n",
      "• Bachelor’s Degree in Engineering, Computer Science, Physics, Mathematics or related field\n",
      "• Experience with scripting and analysis tools such as Matlab and Python\n",
      "• Highly effective written and verbal communication skills\n",
      "• Ability to work effectively in a team and set priorities\n",
      "• Outstanding analytical and problem-solving skills\n",
      "\n",
      "Preferred Skills:\n",
      "• Coursework or experience in wireless communication systems, information theory, detection and estimation theory, stochastic processes, and/or linear algebra\n",
      "• Experience applying unsupervised and supervised machine learning techniques to solve signal/data processing problems\n",
      "• Exposure to commercial communication devices and standards (3GPP, WiFi, Bluetooth, etc…)\n",
      "\n",
      "At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:\n",
      "• Comprehensive health, dental, and vision plans\n",
      "• MIT-funded pension\n",
      "• Matching 401K\n",
      "• Paid leave (including vacation, sick, parental, military, etc.)\n",
      "• Tuition reimbursement and continuing education programs\n",
      "• Mentorship programs\n",
      "• A range of work-life balance options\n",
      "• ... and much more!\n",
      "\n",
      "Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.\n",
      "\n",
      "Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.\n",
      "\n",
      "MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.\n",
      "\n",
      "Requisition ID: 40933\n",
      "-------------------------\n",
      "AI Solutions Development Engineer\n",
      "\n",
      "Our customers’ system requirements are usually highly complex. Bringing together hardware and software systems design, Systems Development Engineering operates at the very cutting edge of technology to meet them. We design and develop electronic and electro-mechanical or systems-orientated products, conduct feasibility studies on engineering proposals and prepare installation, operation and maintenance specifications and instructions. We’re proud to deliver programs and products to the highest quality standards, on time and within budget.\n",
      "\n",
      "Technological advancements continue to empower human progress to newer heights and innovations in the space of Artificial Intelligence (AI) are at the pinnacle of this transformation. Dell Technologies is at the center of this “empowering the possible” in every sector and vertical such technological solutions and products has a role to play. With Generative AI (GenAI) led momentum in the industry, Dell Technologies remains at the forefront by helping solve customer challenges with its industry leading products and solutions.\n",
      "\n",
      "Dell Technologies’ Integrated Solutions brings Dell and partner hardware and software products together in the form of reference and validated designs. These designs, paired with various services offers, allow customers to embark on the AI and GenAI journey with confidence, irrespective of their starting point in this transformational journey.\n",
      "\n",
      "Join us to do the best work of your career and make a profound social impact as an AI Solutions Development Engineer on our Systems Development Engineering Team in Austin, Texas.\n",
      "\n",
      "What you’ll achieve\n",
      "As an AI Solutions Development Engineer, you will be responsible for the engineering work necessary to develop Dell Integrated Solutions based on the Generative AI-based compute, network, and storage infrastructure environment. You will work closely with multiple Dell stakeholders to ensure all engineering solutions projects align with Dell Technologies’ AI strategy. Our Solutions Development Engineers operate at the cutting edge of technological advancements. We design and develop AI and GenAI solutions integrating GPU accelerated compute, network, and storage products, in Slurm and Kubernetes clustered environments, allowing data scientists and developers to develop, fine tune, customize and deploy (for inference) AI models towards various use-cases and deployment environments (core, edge, cloud and anything in between).\n",
      "\n",
      "You will:\n",
      "• Review requirements and develop test plans based on the Generative AI solution specifications and Product Manager’s Product Requirements Document\n",
      "• Configure, deploy, and test AI workloads running on the Generative AI environment; critical responsibilities of the role are to troubleshoot and resolve issues, conduct technical reviews of all deliverables, and continually communicate project status to all relevant stakeholders\n",
      "• Examine and evaluate internal and external engineering-specific documentation related to projects; you will share knowledge with peers and leaders to improve internal processes and drive ideas to streamline future development work\n",
      "• Utilize your expertise to assist in the development of technical customer and partner content such as design guides, sizing guides, technical white papers, implementation guides, technical blogs\n",
      "\n",
      "Take the first step towards your dream career\n",
      "Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:\n",
      "\n",
      "Essential Requirements\n",
      "• 8+ years’ professional Engineering experience developing and deploying end-to-end (infrastructure to platform to application to workload to use-cases solutions is highly desired)\n",
      "• Knowledge in infrastructure deployment and the hardware ecosystem e.g., servers, storage, and networking (to include IP addressing, subnets, VLANs etc.)\n",
      "• Solid understanding of Linux-based operating systems (deployment and configuration) and cluster management (including deploying and managing containers, Kubernetes and Slurm clusters)\n",
      "• Excellent collaboration, communication, and presentation skills; must be able to work with all levels of the organization and effectively communicate status of development work to relevant stakeholders in a consistent and timely manner\n",
      "\n",
      "Desirable Requirements\n",
      "• Familiarity of AI Technologies e.g., Generative/Cognitive AI framework/models, Machine Learning/Deep Learning, AI platforms/libraries (e.g., Hugging Face, TensorFlow) and Open-Source Machine Learning framework (PyTorch)\n",
      "• Degree in a quantitative field (Computer Science, Mathematics, Statistics, Electrical Engineering, Physical Sciences, etc.)\n",
      "\n",
      "Who we are\n",
      "\n",
      "We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.\n",
      "\n",
      "Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.\n",
      "\n",
      "Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.\n",
      "\n",
      "Job ID:R242779\n",
      "\n",
      "Dell’s Flexible & Hybrid Work Culture\n",
      "\n",
      "At Dell Technologies, we believe our best work is done when flexibility is offered.\n",
      "\n",
      "We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page.\n",
      "-------------------------\n",
      "Overview\n",
      "\n",
      "At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.\n",
      "\n",
      "The AI Engineer Intern will work with Forge, LMI’s internal technology accelerator and innovation hub, to develop technology solutions for LMI and its federal government clients. This position will apply machine learning and data science approaches to initiate, develop, and deliver AI within web-based applications. The AI Engineer Intern will work within a team of data scientists, computer scientists, application developers, product managers, and designers to integrate AI/ML into applications to automate and improve business processes, data quality, and user experience. The ideal candidate will have a passion for solving challenging problems by applying a diverse set of technical capabilities to program, develop models, and deploy services consumed by user applications.\n",
      "• This position is currently full-time telework with the ability to periodically work out of our Tysons, VA HQ*\n",
      "\n",
      "LMI has been named a 2024 Campus Foward Award Winner! This Award recognizes excellence in early career hiring, celebrating the teams that embrace innovative recruiting strategies, care deeply about the candidate experience, are making significant investments in DEIA, and are supporting the next generation of talent through impactful internships and entry-level programs.\n",
      "\n",
      "Responsibilities\n",
      "• Identify opportunities where AI/ML or modeling and simulation can generate business insights or improve business processes\n",
      "• Develop and implement digital and analytic approaches\n",
      "• Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate predictive and prescriptive models with web-based applications\n",
      "• Research algorithms in machine learning to identify viable approaches to meet business requirements\n",
      "• Apply machine learning methods, such as natural language processing (NLP), computer vision, regression, clustering, classification, and deep learning\n",
      "• Design solution prototypes that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs)\n",
      "• Become familiar with DevSecOps principles to continuously deliver high-quality software\n",
      "• Work with Docker to develop and deploy containerized versions of models\n",
      "• Participate in design and code reviews, and collaborate with a strong, passionate engineering team\n",
      "• Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users\n",
      "• Interface with customer stakeholders to provide technical explanations and support\n",
      "\n",
      "Qualifications\n",
      "• Pursuit of a Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.\n",
      "• Currently enrolled in a Graduate (Masters) program highly preferred\n",
      "• Pursuing a post-graduate or undergrad degree in engineering, mathematics, computer science, modeling and simulation, operations research, or related technical discipline\n",
      "• Must be able to work for a minimum of 10-12 weeks beginning in Summer 2024 (May/June)\n",
      "• Comfortable working with agile teams, developing prototypes and functionality in short development sprints\n",
      "• Ability to work independently and collaborate effectively with a project team in an agile research and development environment\n",
      "• Comfortable using Atlassian products, including JIRA, Bamboo, Confluence, FishEye, Crucible, and Bitbucket\n",
      "• Ability to think critically to propose tractable solutions to complex problems\n",
      "• Effective written and verbal communication skills\n",
      "• Ability to communicate complex concepts to both technical and business-focused audiences\n",
      "• Familiarity or desire to excel with modern programming languages appropriate for machine learning prototyping; Python is preferred, but experience with other languages such as Java, C++, C#, JavaScript and R demonstrate the necessary ability\n",
      "• Familiarity with the underlying mathematics of machine learning\n",
      "• Knowledge of data structures and data management principles, methods, and tools\n",
      "• Desire to explore machine learning frameworks and libraries, such as scikit-learn, TensorFlow, and Spark ML\n",
      "• Ability to work with integrated development environments, such as Jupyter, JupyterLab, JetBrains IntelliJ IDEA, JetBrains PyCharm, JetBrains CLion, and Visual Studio Code\n",
      "• Ability to collaborate with a team that develops applications using web development frameworks, such as Angular (1.x/2+), React, and Ember, and server frameworks, such as Node.js and Express.js\n",
      "• Ability to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud\n",
      "• Familiarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)\n",
      "-------------------------\n",
      "About the company\n",
      "\n",
      "Albertsons Companies is at the forefront of the revolution in retail. With a fixation on raising the bar with innovation and building belonging through our culture, our team is rallying our company around a unique purpose: to create joy around each table and inspire a healthier tomorrow for every community.\n",
      "\n",
      "Albertsons Companies is one of the largest food and drug retailers in the United States, with over 2,200 stores in 34 states and the District of Columbia. Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carrs, Kings Food Markets, and Balducci's Food Lovers Market. We support our stores with 22 distribution centers and 19 manufacturing plants.\n",
      "\n",
      "Placing a premium on adaptability, safety and family well-being, our work model, Presence with a Purpose, offers a hybrid work environment between remote work and office time. A one-size-fits-all approach does not apply to everyone, and teams are empowered to make decisions best for them.\n",
      "\n",
      "Bring your flavor\n",
      "\n",
      "Building the future of food and well-being starts with you. Join our team and bring your best self to the table.\n",
      "\n",
      "#bringyourflavor\n",
      "\n",
      "#LI-MF1\n",
      "\n",
      "What you will be doing\n",
      "\n",
      "Conduct research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services\n",
      "\n",
      "The position will be based out of our Pleasanton, CA corporate office.\n",
      "\n",
      "Main responsibilities\n",
      "• Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.\n",
      "• Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.\n",
      "• Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex ML/AI concepts to both technical and non-technical stakeholders.\n",
      "• Contributing to the establishment of best practices and standards for generative AI development within the organization.\n",
      "• Optimizing existing ML/AI/Generative AI models for improved performance, scalability, and efficiency.\n",
      "• Communicates professionally at all levels within and outside of the team.\n",
      "• Providing technical mentorship and guidance to junior team members.\n",
      "\n",
      "\"The salary range is $109,700-$142,580 annually. Starting salary will vary based on criteria such as location, experience, and qualifications. There may be flexibility for exceptional candidates.\"\n",
      "\n",
      "What we are searching for\n",
      "• Bachelor's degree in computer science, Artificial Intelligence, Machine Learning, or a related field.\n",
      "• 4 years' experience in Python and with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.\n",
      "• 2 years' experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.\n",
      "• 5 years' experience with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly\n",
      "• Strong knowledge of any Distributed processing frameworks such as Apache Spark, Hadoop\n",
      "• Strong knowledge of data structures, algorithms, and software engineering principles\n",
      "• Familiar with cloud-based platforms and services, such as AWS, GCP, or Azure\n",
      "• Knowledge of software development methodologies, such as Agile or Scrum\n",
      "\n",
      "What is it like at Albertsons?\n",
      "\n",
      "Our 290,000 associates have a passion for great service and building lasting relationships with our customers. Through a companywide focus on innovation, we are continually enhancing our digital and product offerings, making it easy for customers to get what they need, wherever they are.\n",
      "\n",
      "Albertsons is an Equal Opportunity Employer\n",
      "\n",
      "This Company is an Equal Opportunity Employer, and does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, gender identity/expression, sexual orientation, or on any other basis prohibited by law. Consistent with applicable state and local law, the Company will consider for employment qualified applicants with arrest and conviction records.\n",
      "\n",
      "We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at 1-888-255-2269 (option #4).\n",
      "-------------------------\n",
      "Vatic is looking for an AI engineer with proven experience with large foundational models. Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.\n",
      "\n",
      "As an AI Engineer you will\n",
      "• play a crucial role in designing and developing cutting-edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts. With a different lens through foundational models.\n",
      "• Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures.\n",
      "• play a central role in defining and running large-scale experiments that contribute towards rigorous evaluation and in-depth model analysis.\n",
      "\n",
      "We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.\n",
      "\n",
      "If you possess the following, we would love to explore what is available for you with our team:\n",
      "• Keen interest in training, evaluation, understanding, and innovation of foundational models\n",
      "• Advanced proficiency with Python development in a Linux environment\n",
      "• Strong understanding of machine learning, deep learning, and generative AI methods and technologies\n",
      "• Direct experience with multi-GPU model training\n",
      "• Demonstrable success building high performance software\n",
      "• Performance tuning/optimization of software and algorithms\n",
      "• Familiarity with parallel computing models and frameworks\n",
      "• Strong analytical and problem-solving skills\n",
      "• A passion for trading, research, and technology\n",
      "• Excitement and interest in using readily available open source technologies and prototypes\n",
      "• Excellent communication skills\n",
      "• Confident team player motivated by a fast-paced environment\n",
      "\n",
      "While we are serious about our work at Vatic, we also promote a fun environment! You can expect:\n",
      "• Ping pong and poker games\n",
      "• Fun team outings\n",
      "• Unlimited office snacks\n",
      "• Free breakfast, lunch, and dinner\n",
      "• Gym membership\n",
      "• Full health insurance coverage for employees and dependents\n",
      "\n",
      "The base salary range for this role is between $175,000 and $275,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits. Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.\n",
      "-------------------------\n",
      "Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.\n",
      "\n",
      "We are dedicated to fostering a workplace culture that values Diversity, Equity, Inclusion, and Belonging (DEIB). To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).\n",
      "\n",
      "About the role\n",
      "\n",
      "Are you driven to make a profound, lasting global impact in artificial intelligence and real-time robotics? Look no further. Our Stealth Startup presents an unparalleled opportunity to take on exhilarating AI and ML challenges with a global reach. Join us today and embark on a transformative journey that revolutionizes the world of AI and Robotics. We are actively seeking passionate Senior AI Engineers who possess hands-on expertise in various domains, including real-time computer vision, robotics, generative AI, transformers, statistical machine learning, natural language processing, control/navigation, and reinforcement learning.\n",
      "\n",
      "Candidates must have strong skills in machine learning (ML), deep learning (DL), robotics and real-time computer vision techniques. Candidates must also have hands-on ability to build ML/DL models that suit the problem, prepare datasets to test, evaluate the quality of models, and deploy them in production. Candidates must have knowledge and experience with containers, microservices architecture, and be able to independently deploy the ML models to production.\n",
      "\n",
      "If you are a highly motivated individual with a passion for cutting-edge AI for robotics and multimodal perception, we would love to hear from you. Our company offers an unparalleled opportunity to tackle the most thrilling AI and ML challenges worldwide. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast real-time datasets.\n",
      "\n",
      "We are at the forefront of inventing and expanding high-performance computing solutions for robotics, drones, self-driving cars, intelligent camera networks, assistive agents, and real-time monitoring and diagnostics. Our mission is to empower AI systems to interact with the complexities and uncertainties of the real world seamlessly and securely.\n",
      "\n",
      "Key Responsibilities\n",
      "• Translating business requirements into requirements for AI/ML models, particularly those related to multi-modal perception and robotic applications.\n",
      "• Preparing data to train and evaluate AI/ML/DL models.\n",
      "• Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research.\n",
      "• Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations.\n",
      "• Deploying the models in production by containerizing the models.\n",
      "• Working with customers and internal employees to refine the quality of the models.\n",
      "• Establishing continuous learning pipelines for models with online learning or transfer learning.\n",
      "• Building and deploying containerized applications on the cloud or on-premises environments\n",
      "\n",
      "Required Qualifications\n",
      "• MS degree (Ph.D. preferred) in computer science, machine learning, robotics, physics, computational science/engineering, or related technical field (or equivalent experience).\n",
      "• 8+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. 5+ years in Machine Learning frameworks such as PyTorch, Tensorflow, ONNX Runtime, and TensorRT.\n",
      "• Familiarity with containers, numeric libraries, modular software design (not including graduate school)\n",
      "• Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling.\n",
      "• Expertise in supervised, unsupervised, and transfer learning techniques.\n",
      "• Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc.).\n",
      "• Background with container technologies, such as Dockers and Kubernetes\n",
      "\n",
      "Preferred Experience and Skills\n",
      "• Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems.\n",
      "• Proven experience producing computationally efficient software to meet real-time requirements.\n",
      "• Experience with solving and using machine learning for large-scale problems.\n",
      "• Strong analytical skills with a bias for action.\n",
      "• Strong time-management and organization skills to thrive in a fast-paced, dynamic environment.\n",
      "• Solid written and oral communications skills.\n",
      "• Ability to lead and mentor AI engineers and SDEs.\n",
      "• Great teamwork and interpersonal skills.\n",
      "\n",
      "We are open to junior and mid-level candidates but would need to sit in the SF Bay Area or Bellevue, WA area\n",
      "\n",
      "We are an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. We make hiring decisions based solely on qualifications, merit, and business needs at the time.\n",
      "-------------------------\n",
      "✍   About Writer\n",
      "\n",
      "AI your people will love. That's our vision, and it contains multitudes :-)\n",
      "\n",
      "AI\n",
      "\n",
      "your people\n",
      "\n",
      "will love.\n",
      "\n",
      "We're filling a big need for generative AI built ground-up for the needs of enterprises and embraced by their teams. As generative AI became a board-level initiative almost overnight for most enterprises, our market matured dramatically and we benefit from that tailwind. Our product is highly differentiated, our roadmap is transformative, and our customers are happy and vocal.\n",
      "\n",
      "   About this role\n",
      "\n",
      "Writer is looking for an AI Engineer to join our expanding team of AI experts.\n",
      "\n",
      "At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineer, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. If you’re passionate about using AI to transform the enterprise, then we want to hear from you.\n",
      "\n",
      "As an AI Engineer at Writer, you will play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software developers, you will have the opportunity to design and deploy AI solutions that drive our innovative products.\n",
      "\n",
      "You will report to our CTO.\n",
      "\n",
      "    ‍♀️ Your responsibilities\n",
      "• Conduct cutting-edge research, design, and develop generative AI models and algorithms to solve complex problems.\n",
      "• Collaborate closely with our talented data scientists and machine learning engineers to preprocess and analyze large datasets for training AI models.\n",
      "• Train and fine-tune generative AI models using various techniques, including deep learning, reinforcement learning, and evolutionary algorithms.\n",
      "• Evaluate and validate the performance of AI models through rigorous testing and experimentation.\n",
      "• Collaborate with our skilled software developers to seamlessly integrate AI models into production systems, ensuring scalability and efficiency.\n",
      "• Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.\n",
      "• Document research findings, methodologies, and implementation details to share knowledge with internal and external stakeholders.\n",
      "• Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions.\n",
      "\n",
      "⭐️ Is this you?\n",
      "• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field\n",
      "• 5+ years of professional experience in software engineering AI/ML development including:\n",
      "• Machine learning algorithms and techniques\n",
      "• Proficiency in programming languages such as Python, PyTorch\n",
      "• Professional experience with LLMs and big-scale models\n",
      "• Knowledge of AI protocols and standards\n",
      "• AI development platforms and tools\n",
      "• Strong analytical and problem-solving skills\n",
      "• Ability to communicate complex ideas and concepts effectively\n",
      "• Ability to work independently and collaboratively with\n",
      "\n",
      "Curious to learn more about who we are and how we operate? Visit us here\n",
      "\n",
      "   Benefits\n",
      "• We don’t spend frivolously, but we do take care of our own. Besides smart, sincere colleagues and a vibrant work environment, we are proud to offer:\n",
      "• Employer-covered medical plans, dental, vision, and life insurance\n",
      "• FSA\n",
      "• Competitive parental leave policy (parents actually work here!)\n",
      "• Generous PTO\n",
      "• Company stock options\n",
      "• 401k plan with employer matching\n",
      "• Flexible schedules\n",
      "\n",
      "Writer is an equal opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n",
      "-------------------------\n",
      "Job Title: AI Engineer\n",
      "\n",
      "Department: Product Development\n",
      "\n",
      "About care.ai:care.ai is a cutting-edge healthcare technology company that is revolutionizing patient care with the power of artificial intelligence. We are committed to enhancing the quality of life for patients, healthcare providers, and families through innovative solutions. As we continue to grow, we are seeking a Mobile Developer to join our dynamic Product Development team.\n",
      "\n",
      "General Duties and Responsibilities:\n",
      "\n",
      "The AI Engineer designs, develops, and drives application development on IoT devices leveraging computer vision and deep learning models. To meet product and technology requirements, the AI Engineer also develops, evaluates, and optimizes computer vision and deep learning models.\n",
      "\n",
      "Experience Requirements:\n",
      "• Strong, demonstrable experience with Python along with relevant packages like numpy, scikit-learning, opencv, and matplotlib\n",
      "• At least 2+ years experience developing computer vision and deep learning applications.\n",
      "• Experience with machine learning frameworks\n",
      "• Experience with training deep learning models\n",
      "• Experience following Scrum methodology and version control systems.\n",
      "• Experience working on IoT platforms, linux embedded systems is a plus.\n",
      "• Experience with C, C++ is a plus.\n",
      "• Experience with Android application development is a plus\n",
      "• Ability to work well in a team and collaborative environment.\n",
      "• Experience working in start-ups or other high demand, fast paced environments is a plus.\n",
      "\n",
      "Education Requirements:\n",
      "• BS/MS in Computer Science or other related field, or an equivalent combination of professional experience and education.\n",
      "• Preferred degree with specialization in deep learning, machine learning and computer vision.\n",
      "\n",
      "Benefits:\n",
      "• Competitive salary and performance-based bonuses\n",
      "• Comprehensive healthcare and dental coverage\n",
      "• 401(k) retirement plan\n",
      "• Generous FTO (flexible time off) plan\n",
      "• Professional development opportunities\n",
      "• Collaborative and innovative work environment\n",
      "\n",
      "Job Type: Full-time\n",
      "\n",
      "Pay: $75,317.04 - $108,768.91 per year\n",
      "\n",
      "Benefits:\n",
      "• 401(k)\n",
      "• Dental insurance\n",
      "• Flexible schedule\n",
      "• Health insurance\n",
      "• Paid time off\n",
      "• Vision insurance\n",
      "\n",
      "Experience level:\n",
      "• 3 years\n",
      "\n",
      "Schedule:\n",
      "• Monday to Friday\n",
      "\n",
      "Application Question(s):\n",
      "• Do you currently reside in Central Florida?\n",
      "\n",
      "Education:\n",
      "• Bachelor's (Preferred)\n",
      "\n",
      "Experience:\n",
      "• developing computer vision and deep learning applications: 2 years (Required)\n",
      "• Python: 2 years (Required)\n",
      "\n",
      "Ability to Relocate:\n",
      "• Orlando, FL 32811: Relocate before starting work (Required)\n",
      "\n",
      "Work Location: Hybrid remote in Orlando, FL 32811\n",
      "-------------------------\n",
      "Job Purpose:\n",
      "\n",
      "The Digital Solutions and Innovation (DSI) function works with members of Internal Audit (IA) to identify automation opportunities and develop solutions and capabilities to support the development of audit analytics. A key aspect of DSI’s strategy is to develop and deploy augmented intelligence (AI) and machine learning (ML) capabilities that are integrated with applications used by IA teams. The overarching objectives of these capabilities is to provide “in the moment” guidance to auditors, glean broader and deeper insights, enable efficiencies, and promote better quality and consistency.\n",
      "\n",
      "Role Overview:\n",
      "\n",
      "The AI/ML Engineer - Lead Analyst is a critical role with the objective of exploring, developing, testing, deploying, enhancing, and maintaining machine learning and artificial intelligence capabilities integrated with Internal Audit’s management systems.\n",
      "\n",
      "A broad understanding of AI/ML concepts and techniques, agile methodologies, cloud computing, intelligent chatbots, and related aspects is essential for the role. Additionally, a key aspect of this role involves the design and refinement of prompts to effectively communicate with generative AI models and to guide them, optimizing their output for a variety of technical applications and producing high-quality and contextually relevant content.\n",
      "\n",
      "The role will entail collaborating with DSI, audit teams, external third parties and technology teams on ML use case ideation and prioritization, developing plans and timelines for implementation, thorough testing, deployment in a systemic way, maintenance to keep the capabilities up to date and relevant, and support in the onboarding of new technology for DSI.\n",
      "\n",
      "The role will also involve collaborating with DSI team members and audit teams on new use case ideation, exploration, and eventual implementation.\n",
      "\n",
      "Another success factor for the role will be documentation of model performance and other metrics and communication/presentation of results to pertinent audiences, including senior leadership. Along with a strong technical foundation, a creative, imaginative, forward-looking attitude and mindset is needed to continue to exert a positive impact on DSI and Internal Audit. Furthermore, a total quality assurance orientation is indispensable in all activities and outputs.\n",
      "\n",
      "Key Responsibilities:\n",
      "• Design, test, deploy and maintain machine learning use cases leveraging IBM Watson SaaS environment and toolset, and integrate with the audit management systems\n",
      "• Enhance existing AI/ML capabilities through ideation, exploration, testing, prioritization, and implementation\n",
      "• Design, test, and refine prompts to elicit the desired outputs from generative AI models, ensuring clarity, accuracy, effectiveness, and contextual relevance.\n",
      "• Perform analytics on AI/ML capabilities usage to understand trends, patterns, and pain points and implement a sustainable feedback loop to ensure positive, continually improving user experiences.\n",
      "• Explain the analysis of results in a methodical, analytical, visually-appealing manner\n",
      "• Collaborate with Innovation, technology, vendor, and information security teams on updates, enhancements, releases, and other procedural requirements\n",
      "• Assess current capabilities and chart a path for continuous improvement of the AI/ML capabilities value and impact\n",
      "• Prepare, manage, and maintain model risk management (MRM) documentation on model performance and accuracy\n",
      "• Engage with MRM team on adhering to and fulfilling requirements for MRM process\n",
      "• Engage with relevant stakeholders on use case ideation, planning, development, and deployment\n",
      "• Apply strong project management skills to develop project plans, timelines, milestones, and demonstrate progress toward objectives\n",
      "• Utilize excellent communication skills to ideate, educate, and present internally, often at senior levels (across functions); expected to communicate with external parties\n",
      "• Help shape the direction of machine learning and artificial intelligence capabilities in DSI\n",
      "• Apply a strong understanding of business processes, risks and controls to identify opportunities to enhance audit efficiencies and effectiveness through the development and delivery of automated processes\n",
      "• Drive tool innovations based on stakeholder needs, including adoption of new technologies and techniques\n",
      "\n",
      "Qualifications:\n",
      "• 5+ years’ experience in AI, machine learning, and model development and deployment\n",
      "• Extensive experience in machine learning use case design, testing and deployment in IBM SaaS/Watson environment\n",
      "• Firm understanding of IBM cloud environment and its services\n",
      "• Demonstrable experience with IBM OpenPages platform, coupled with implementation and integration of machine learning algorithms using Watson capabilities\n",
      "• Demonstrable experience in working with Generative AI models, with a deep understanding of their capabilities, prompting strategies, model performance, and inherent limitations.\n",
      "• Extensive experience testing and using APIs\n",
      "• Strong statistical foundation, with in-depth knowledge of supervised, unsupervised, and semi-supervised machine learning models, with a particular focus on NLP/NLU\n",
      "• Solid understanding of data structures and data models\n",
      "• Understanding of conversational AI concepts, including intents, entities, dialogs trees, actions, journeys, and experiences\n",
      "• Experience in application development and UI and UX considerations\n",
      "• Experience in analytics, reporting, and visualization for the analysis and presentation of results. Cognos analytics experience is a plus\n",
      "• Possess an innovative, forward-looking, and imaginative mindset to continually reach for new horizons in audit innovation\n",
      "• Demonstrable experience working with stakeholders and exceeding their expectations\n",
      "• Take responsibility and accountability for planning, execution, and delivery\n",
      "• Positive attitude and a change-driven and change-oriented outlook\n",
      "• Adept at developing new ideas and improving current processes\n",
      "• Consider broad implications of decisions to different functions and units\n",
      "• Ability to thrive in a fast-paced, results-oriented environment\n",
      "• Excellent communication and interpersonal skills, with ability to develop strong working relationships and foster team collaboration\n",
      "• Possess excellent writing skills to deliver clear and concise messages, able to articulate complex concepts\n",
      "• Strong Presentation skills – comfortable with public speaking across various forums and be able to effectively and logically communicate when ideas are being challenged in an open forum\n",
      "• Familiarity with Financial Services industry and/or auditing a plus\n",
      "\n",
      "Knowledge and Skills:\n",
      "• Analytics, AI, machine learning, natural language processing (NLP), natural language understanding (NLU), large language models (LLMs)\n",
      "• Generative AI prompt engineering and tuning\n",
      "• Design of AI/ML model performance metrics and optimization\n",
      "• SaaS environments, cloud computing\n",
      "• IBM Watson, Watsonx.ai, Watson Assistant, OpenPages, Cognos\n",
      "• Agile and waterfall project management methodologies; JIRA a plus\n",
      "• Intermediate to Advanced level Python coding\n",
      "• Advanced SQL\n",
      "• MicroStrategy, Power BI, Tableau, or other visualization software\n",
      "• Intents, entities, dialogs, actions, and related chat bot concepts are a plus\n",
      "\n",
      "Education:\n",
      "• Bachelor’s degree in Data Science, Computer Science, MIS, or related discipline.\n",
      "• CISA, PMP, Agile/Scrum, Cloud Computing, or related certifications are a plus.\n",
      "• Master’s degree is a plus.\n",
      "\n",
      "-------------------------------------------------\n",
      "\n",
      "Job Family Group:\n",
      "Decision Management\n",
      "\n",
      "-------------------------------------------------\n",
      "\n",
      "Job Family:\n",
      "Specialized Analytics (Data Science/Computational Statistics)\n",
      "\n",
      "------------------------------------------------------\n",
      "\n",
      "Time Type:\n",
      "Full time\n",
      "\n",
      "------------------------------------------------------\n",
      "\n",
      "Primary Location:\n",
      "Jersey City New Jersey United States\n",
      "\n",
      "------------------------------------------------------\n",
      "\n",
      "Primary Location Salary Range:\n",
      "$157,040.00 - $235,560.00\n",
      "\n",
      "------------------------------------------------------\n",
      "\n",
      "Citi is an equal opportunity and affirmative action employer.\n",
      "\n",
      "Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n",
      "\n",
      "Citigroup Inc. and its subsidiaries (\"Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.\n",
      "\n",
      "View the \"EEO is the Law\" poster. View the EEO is the Law Supplement.\n",
      "\n",
      "View the EEO Policy Statement.\n",
      "\n",
      "View the Pay Transparency Posting\n",
      "-------------------------\n",
      "EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.\n",
      "\n",
      "​ AI/Machine Learning Engineer, Manager Consultant\n",
      "\n",
      "The opportunity\n",
      "\n",
      "Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.\n",
      "\n",
      "Your key responsibilities\n",
      "\n",
      "You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.\n",
      "\n",
      "You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.\n",
      "\n",
      "Skills and attributes for success\n",
      "\n",
      "This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.\n",
      "\n",
      "To qualify for the role you must have\n",
      "• Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning\n",
      "• 2-4 years of experience directly managing technical teams\n",
      "• Strong skills in Python.\n",
      "• Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).\n",
      "• Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.\n",
      "• Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.\n",
      "• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.\n",
      "• Experience with MLOps methods and platforms such as MLFlow.\n",
      "• Experience with CI/CD and test-driven development.\n",
      "• Experience designing, building, and maintaining ML models, frameworks, and pipelines.\n",
      "• Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.\n",
      "• Understanding of data structures, data modelling and software engineering best practices.\n",
      "• Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.\n",
      "• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.\n",
      "• Experience with containerization and scaling models.\n",
      "• Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.\n",
      "• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.\n",
      "• Willingness to travel to meet client obligations.\n",
      "\n",
      "Ideally, you'll also have\n",
      "• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.\n",
      "• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.\n",
      "• Experience working with diverse teams to deliver complex solutions.\n",
      "• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.\n",
      "• Experience fine-tuning Generative AI models.\n",
      "\n",
      "What we look for\n",
      "• You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.\n",
      "• You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.\n",
      "• You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.\n",
      "\n",
      "FY24CH\n",
      "\n",
      "What we offer\n",
      "\n",
      "We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The salary range for this job in most geographic locations in the US is $127,400 to $233,500. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $152,900 to $265,400. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.\n",
      "• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.\n",
      "• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.\n",
      "• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.\n",
      "• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.\n",
      "\n",
      "If you can demonstrate that you meet the criteria above, please contact us as soon as possible.\n",
      "\n",
      "The exceptional EY experience. It’s yours to build.\n",
      "\n",
      "EY | Building a better working world\n",
      "\n",
      "EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.\n",
      "\n",
      "Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.\n",
      "\n",
      "Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.\n",
      "\n",
      "EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.\n",
      "\n",
      "EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com\n",
      "-------------------------\n",
      "We Impact Lives Through Purpose-Driven Work in A People First Culture\n",
      "\n",
      "Ascend Learning is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data driven solutions across the lifecycle of learning.\n",
      "\n",
      "Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers.\n",
      "\n",
      "We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.\n",
      "\n",
      "WHAT YOU'LL DO\n",
      "\n",
      "As a Lead AI Engineer, you will be pivotal in driving the evolution of our AI-powered products and solutions, shaping the future of education through innovative technology. This position will lead the design, development and deployment of scalable solutions using Generative AI and Machine Learning foundational models. As a hands-on technical lead, you will guide the team in solving complex AI problems, architecting solutions for AI projects, and contributing to the successful implementation of AI strategy at Ascend. The Lead AI Engineer position will report to the Director of AI/ML and will work with the agile data science/AI team, and coordinate with other teams that have a stake in the development process.\n",
      "\n",
      "WHERE YOU'LL WORK\n",
      "\n",
      "This position will work a hybrid schedule from our Leawood, KS office location.\n",
      "\n",
      "HOW YOU'LL SPEND YOUR TIME\n",
      "• Lead the deployment of Generative AI models into production, ensuring scalability and reliability\n",
      "• Lead the team in building scalable, high-performance LLMOps pipelines.\n",
      "• Design and co-own the Generative AI/ML system and project architecture, frameworks, tools, and processes\n",
      "• Provide technical leadership, guidance, and hands-on coding throughout the implementation phase, ensuring seamless integration of AI features\n",
      "• Experience designing and implementing AI/ML models with feedback loops and automated re-training and fine-tuning pipelines\n",
      "• Collaborate with cross-functional teams, including product teams, data scientists, and data engineers, software engineers to integrate AI capabilities into existing and new products\n",
      "• Provide technical mentorship and guidance to team members, fostering a culture of growth and innovation\n",
      "• Take ownership of defining project milestones, timelines, and ensuring successful delivery within specified deadlines\n",
      "• Contribute to the development and maintenance of coding standards, best practices, and documentation\n",
      "• Stay up to date with the latest AI Developments and trends\n",
      "\n",
      "WHAT YOU'LL NEED\n",
      "• Bachelor' degree preferred in Computer Science/Artificial Intelligence or closely related field. Equivalent professional experience will also be considered\n",
      "• 6+ years of progressive work experience in data and analytics, big data related positions with at least 3 years in developing and implementing Analytical applications\n",
      "• Experience building and deploying LLM models, prompt engineering, context management, and embedding techniques using MS Azure cloud services\n",
      "• Experience using analytics/ML tools such as Python, NLTK, HuggingFace, SQL, or Snowflake\n",
      "• Proven ability to translate innovative ideas into practical, scalable solutions\n",
      "• Intrinsic motivation with a strong desire to make a positive impact on the organization\n",
      "• Excellent problem-solving, and critical-thinking skills, and an aptitude for innovation\n",
      "• Demonstrate leadership experience and lead a team of junior AI engineers\n",
      "• Excellent verbal, written, and presentation communication skills\n",
      "• Aspirations for professional development and growth opportunities\n",
      "• Impact-oriented and user-focused, team-first mindset\n",
      "\n",
      "BENEFITS\n",
      "• Flexible and generous paid time off\n",
      "• Competitive medical, dental, vision and life insurance\n",
      "• 401(k) employer matching program\n",
      "• Parental leave\n",
      "• Wellness resources\n",
      "• Charitable matching program\n",
      "• Hybrid work\n",
      "• On-site workout facilities (Leawood, Gilbert, Burlington)\n",
      "• Community outreach groups\n",
      "• Tuition reimbursement\n",
      "\n",
      "Fostering A Sense of Belonging\n",
      "\n",
      "We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued and be their authentic selves. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.\n",
      "\n",
      "About Ascend Learning\n",
      "\n",
      "As a tech-enabled services company, Ascend Learning is a national leader in developing and delivering data-driven online educational content, software, assessments, analytics, and simulations serving institutions, students and employers across healthcare, fitness and wellness, public and workplace safety, skilled trades, insurance, financial services, cybersecurity, and higher education. We're committed to accelerating the learning pathways that can move people into careers where they have the knowledge and skills to have an impact and help change lives in the communities they serve. Headquartered in Burlington, MA with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2023 Greatest Workplaces for Diversity.\n",
      "\n",
      "Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S. based positions with Ascend Learning, LLC must be legally authorized to work in the United States and verification of employment eligibility will be required at the time of hire.\n",
      "\n",
      "#LI-NK1\n",
      "-------------------------\n",
      "About the team\n",
      "\n",
      "OpenAI is one of the leaders in AI research and deployment, and we're working to build safe Artificial General Intelligence (AGI). We believe AGI has the potential to help people solve immense global challenges such as climate change, affordable healthcare, and personalized education, and we want the economic upside of AGI to be widely shared.\n",
      "\n",
      "About the role\n",
      "\n",
      "The Platform Success team is at the intersection of groundbreaking research and real-world applications, responsible for ensuring developers and enterprises are successful in building the most innovative, impactful, and scalable production applications with the OpenAI API platform. We guide and support customers to achieve maximum benefits, value, and adoption from deploying our highly-capable models, and at times push beyond the boundaries of existing models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.\n",
      "\n",
      "We are looking for a driven and innovative ML software engineer as our founding AI Engineer to ideate, scope, and train custom models for previously unsolvable problems that deliver significant value for our customers and, in turn, their customers. You will have the opportunity to create novel models across domains that push beyond the boundary of existing foundational models for our most strategic and high-impact platform customers, serve as the technical authority for the model customization program , and ultimately be the catalyst for discovering and delivering new capabilities and possibilities for our fine-tuning API. You will collaborate closely with the Applied Research, Product, and Engineering teams, and will report to the Head of Platform Success.\n",
      "\n",
      "This role is based in our San Francisco HQ. We offer relocation assistance to new employees.\n",
      "\n",
      "In this role, you will:\n",
      "• Build and train bespoke models for the most innovative and novel solutions built on our APIs to maximize business impact and innovation for our most strategic customers.\n",
      "• Proactively identify gaps in our fine-tuning API product based on evaluating customer needs, and deliver high-quality feedback from training bespoke models to the Product team.\n",
      "• Serve as the primary technical authority for the model customization program .\n",
      "• Scale the model customization program through codifying best practices, sharing knowledge, documentation, creating tools, and publishing technical accelerators internally, enabling a more repetitive and replicable motion.\n",
      "• Be the connective tissue between Applied Research, GTM, Product, and Engineering, especially when it comes to frontier model techniques for customer use cases.\n",
      "• Highlight new and creative ways our foundational models can be used for new domains.\n",
      "\n",
      "You might thrive in this role if you:\n",
      "• Have 7+ years of software engineering and ML experience.\n",
      "• Have built and/or delivered prototypes on top of our API platform.\n",
      "• Have led complex technical projects and programs with many stakeholders.\n",
      "• Proactively identify opportunities for maximizing our customers' business value through leveraging the OpenAI API.\n",
      "• Own problems end-to-end, and be willing to pick up whatever knowledge you're missing to get the job done to ensure both your team and our customers succeed.\n",
      "• Have a humble attitude and an eagerness to help others with empathy.\n",
      "• Have a desire to work directly with technical and non-technical customers, be a good listener and interpreter of their needs, and not be afraid to inquire deeper.\n",
      "• Operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize.\n",
      "• Thrive in dynamic environments and can navigate ambiguity with ease.\n",
      "• Promote diversity in thought.\n",
      "• Be an effective and polished communicator.\n",
      "• Are passionate about ML, data science, and widening the reach of practical AI technologies.\n",
      "\n",
      "About OpenAI\n",
      "\n",
      "OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.\n",
      "\n",
      "At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.\n",
      "\n",
      "Benefits and Perks\n",
      "• Medical, dental, and vision insurance for you and your family\n",
      "• Mental health and wellness support\n",
      "• 401(k) plan\n",
      "• Unlimited time off and 18+ company holidays per year\n",
      "• Paid parental leave (20 weeks) and family-planning support\n",
      "• Annual learning & development stipend ($1,500 per year)\n",
      "\n",
      "We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.\n",
      "\n",
      "We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via\n",
      "\n",
      "About OpenAI\n",
      "\n",
      "OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.\n",
      "\n",
      "We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.\n",
      "\n",
      "For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.\n",
      "\n",
      "We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link .\n",
      "\n",
      "OpenAI Global Applicant Privacy Policy\n",
      "\n",
      "At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.\n",
      "\n",
      "Annual Salary Range\n",
      "\n",
      "$310K - $385K USD\n",
      "-------------------------\n",
      "   Vision:\n",
      "\n",
      "Our vision is to lead the AI revolution for software engineering teams, automating all engineering grunt work tasks with AI. This mirrors the transformative impact of the industrial revolution, where manual labor was automated. By shifting routine tasks to AI, we aim to empower human engineers to focus on what they do best, creating new innovative software, faster than ever before.\n",
      "\n",
      "   Mission\n",
      "\n",
      "Our mission is to build a secure cloud-based platform that enables every engineering team on Earth to automate grunt work projects and tasks.\n",
      "\n",
      "  ️ Role & Responsibilities:\n",
      "\n",
      "Spearhead the development, design, and deployment of our state-of-the-art AI agents. Collaborate closely with our passionate founding team to craft the future roadmap. Provide technical mentorship, promoting best practices and setting coding standards. Ensure seamless integration of our agents into our enterprise customer VPCs. Dive deep into the challenges of AI-driven codebase maintenance, creating solutions that are both innovative and practical.\n",
      "\n",
      "   Requirements:\n",
      "\n",
      "Proficient in Python, React, and Next. Experienced with AI agent frameworks and AI models. Proven experience in AI agent development. Strong problem-solving skills and the guts to take on mind-bending challenges. A team player mindset, ready to collaborate and elevate our small but mighty team. Reside in the Bay Area and can commit to in-office collaboration 2 days a week.\n",
      "\n",
      "⚫⚫ Values\n",
      "\n",
      "Team > Individual\n",
      "\n",
      "We grow and innovate without the constraints of personal pride. This humility paves the way for collaborative problem-solving and ensures decisions are made for the greater good of the company's mission, not individual status.\n",
      "\n",
      "Action > Words\n",
      "\n",
      "Prioritizing actions over words empowers team members to demonstrate their commitment through results, rather than intentions or promises, fostering a culture of accountability and execution. This value is critical for our success, as it shifts the focus from what could be done to what has been done.\n",
      "\n",
      "Focus > Distractions\n",
      "\n",
      "We prioritize work ruthlessly so that we have the highest impact on the company's goals, ensuring that efforts are focused and strategic. This focus on impactful work eliminates distractions and builds a resilient team culture that thrives on delivering value to customers consistently.\n",
      "\n",
      "⚫⚫ Culture\n",
      "\n",
      "Here at Second, we have a hacker culture, where rapid experimentation and delivering real solutions to customer problems are our life blood. We are developers serving developers, operating at the forefront of the AI code gen revolution.\n",
      "\n",
      "www.second.dev\n",
      "-------------------------\n",
      "Agilysys provides industry-leading modern cloud-native solutions for Hospitality. Agilysys helps properties optimize Return on Experience for both guests and staff so they can achieve High Return Hospitality. Agilysys is the only fully focused hospitality software provider that synthesizes data and workflows across a property’s revenue and service centers to elevate guest experiences and increase wallet share per guest across a singular platform. The Agilysys Hospitality Cloud™ combines core operational systems for property management (PMS), point-of-sale (POS), and inventory and procurement (I&P) with Experience Enhancers™ that provide state-of-the-art security, mobile convenience and extensive digital interactions for guests and employees.\n",
      "\n",
      "Global customers include branded and independent hotels; multi-amenity resort properties; casinos; property, hotel and resort management companies; cruise lines; corporate and campus dining providers; food service management companies; hospitals; lifestyle communities; senior living facilities; stadiums; and theme parks.\n",
      "\n",
      "We are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development and implementation of AI technologies across our organization. You will have a strong background in artificial intelligence, machine learning, data analysis, and software engineering. You will be responsible for developing and implementing AI solutions for our customers, collaborating with our engineering teams and stay up-to-date on the latest AI trends and technologies.\n",
      "\n",
      "WHAT YOU WILL BE RESPONSIBLE FOR:\n",
      "• Design, develop and implement AI models and algorithms to solve complex problems for customers\n",
      "• Collaborate with data science and engineering teams to integrate AI solutions into existing systems\n",
      "• Train and test AI models to ensure accuracy and performance\n",
      "• Communicate complex concepts and solutions to both technical and non-technical stakeholders\n",
      "• Conduct data analysis and pre-processing to support AI model development and training\n",
      "• Stay up-to-date on the latest advancements in AI and identify potential applications for our products\n",
      "• Participate in the development of new AI products and services\n",
      "• Provide technical guidance and mentorship to junior AI team members\n",
      "\n",
      "CANDIDATE QUALIFICATIONS & WHY YOU’RE A GREAT FIT FOR THE ROLE:\n",
      "\n",
      "Required Qualifications:\n",
      "• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field\n",
      "• 3 - 5 years of experience in developing and implementing AI technologies\n",
      "• Strong knowledge of machine learning algorithms, data structures and data analysis\n",
      "• Proficiency with programming languages such as Python, Java and C++\n",
      "• Experience with deep learning frameworks such as TensorFlow, Keras and PyTorch\n",
      "• Experience with big data technologies such as Hadoop and Spark\n",
      "• Excellent problem-solving and analytical skills\n",
      "• Excellent communication and collaboration skills\n",
      "• Ability to work independently and as part of a team\n",
      "• Travel as required for internal meetings or external customer meetings\n",
      "\n",
      "Preferred Qualifications:\n",
      "• PhD in Computer Science, Electrical Engineering, or a related field\n",
      "• Experience with natural language processing (NLP) and/or computer vision (CV) technologies\n",
      "• Experience with cloud computing platforms such as AWS or Azure\n",
      "• Strong publication record in AI research journals or conferences\n",
      "\n",
      "If you meet the above qualifications and are passionate about using AI to drive innovation and solve complex problems, we encourage you to apply for this exciting opportunity.\n",
      "\n",
      "----------------------------------------------------------------------------------------------------------------------------------------------------\n",
      "\n",
      "Must be willing to complete all license applications, background checks, security checks and/or any other documentation and provide copies of any identification documents required by any State, Federal or Tribal governmental agency in order to maintain compliance with their laws and to successfully perform in the role.\n",
      "\n",
      "----------------------------------------------------------------------------------------------------------------------------------------------------\n",
      "\n",
      "The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Conditions may require the Company to modify this job description and the Company reserves the right to exercise its discretion to make such changes.\n",
      "\n",
      "Agilysys is an equal opportunity employer. In compliance with Federal and State EEO laws, qualified applicants are considered for all positions without regards to race, color, gender, religion, national origin, ancestry, place of birth, age, marital status, sexual orientation, disability, or veteran status.\n",
      "\n",
      "EEO/AAP Employer\n",
      "\n",
      "M/F/V/D\n",
      "-------------------------\n",
      "Who we are\n",
      "\n",
      "Rilla’s the leading conversation intelligence software for outside sales. Think solar, roofing, and real estate sales reps.\n",
      "\n",
      "They talk to customers face to face, our mobile app records their conversations, and our AI automatically transcribes and analyzes their conversations to help them improve their sales.\n",
      "\n",
      "Our vision is to bring the power of conversation intelligence from the Zoom meeting and the call center to the more than 10M sales people who work offline.\n",
      "\n",
      "We’re growing 20% MoM, have dozens of customers including Fortune 500 companies, Net Revenue Retention above 170%, an NPS higher than the iPhone’s, and we are profitable!\n",
      "\n",
      "We’re backed by Byron Deeter (one of the best investors in history) from Bessemer Venture Partners, the top Cloud investor in the world. And we’re a Cloud 100 Rising Star company.\n",
      "\n",
      "Who You Are\n",
      "•    An infinite learner. Someone who is always curious. You quickly learn new technologies and execute independently. You are a generalist who will deep dive into a challenge.\n",
      "•    A customer obsessive. Someone who deeply cares about delighting customers and solving their pains, not about vanity metrics.\n",
      "•    A quality obsessive. Someone who deeply cares about our users and the quality of their work. Our customers are not tech companies. They’re people who live and work in the real world. To solve problems for them you need to have extreme empathy. You have to understand how they work, what they need, and want, and how to make their lives better.\n",
      "•    A team player. You love giving and receiving feedback, and learning and growing as a team.\n",
      "•    Unafraid of failure. You take risks. You see failure as an opportunity to learn, grow, and be better the next time. In a weird way, you trick your brain into being excited when you fail, because it means you got a new opportunity to learn more.\n",
      "\n",
      "The Role\n",
      "\n",
      "You will be a part of the founding team in one of the fastest growing startups in the world. As we scale, we need an ML engineer who can build high-quality products quickly. You will collaborate with everyone at Rillavoice, even our customers, to deliver a world-class solution.\n",
      "\n",
      "Our ML stack involves Python, PyTorch, OpenAI, Anthropic, AWS, Docker, Flask, Gunicorn, PostgreSQL and Neo4J. We will look to your experience to impact our codebase and help our ML team expand its skillset.\n",
      "\n",
      "What you’ll do\n",
      "• Build high-quality products very fast.\n",
      "• Contribute to building new features from scratch as we push forward our technical roadmap.\n",
      "• Have empathy for our users and build solutions for them. And you’ll be able to do this without any explicit planning or expectations.\n",
      "• Push for a high bar for the quality of our codebase and our technical decisions. You’ll help in setting the standard for the future as we scale the ML organization here at Rillavoice.\n",
      "• Scale yourself. Being an early-stage company, you will need to grow in both leadership and execution as the company scales.\n",
      "• Help recruit additional scientists/engineers to expand the team.\n",
      "\n",
      "What you bring\n",
      "• 2+ years experience in designing/implementing solutions, ideally some of it in startups.\n",
      "• Ability to move fast and iterate quickly without sacrificing quality.\n",
      "• A customer-first mindset and an interest in talking with customers to make sure what we’re building meets their needs.\n",
      "• Experience across some/most of the entire stack. Ability to quickly learn and fill in the gaps.\n",
      "• Experience owning technically challenging projects.\n",
      "\n",
      "Compensation\n",
      "\n",
      "Our compensation philosophy is that we always pay top of market - above the 90th percentile. This means that whatever you’re getting paid currently, or whatever the market is willing to pay you, we’ll pay you more.   \n",
      "-------------------------\n",
      "EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.\n",
      "\n",
      "​ AI/Machine Learning Engineer, Manager Consultant\n",
      "\n",
      "The opportunity\n",
      "\n",
      "Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.\n",
      "\n",
      "Your key responsibilities\n",
      "\n",
      "You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.\n",
      "\n",
      "You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.\n",
      "\n",
      "Skills and attributes for success\n",
      "\n",
      "This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.\n",
      "\n",
      "To qualify for the role you must have\n",
      "• Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning\n",
      "• 2-4 years of experience directly managing technical teams\n",
      "• Strong skills in Python.\n",
      "• Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).\n",
      "• Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.\n",
      "• Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.\n",
      "• A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.\n",
      "• Experience with MLOps methods and platforms such as MLFlow.\n",
      "• Experience with CI/CD and test-driven development.\n",
      "• Experience designing, building, and maintaining ML models, frameworks, and pipelines.\n",
      "• Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.\n",
      "• Understanding of data structures, data modelling and software engineering best practices.\n",
      "• Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.\n",
      "• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.\n",
      "• Experience with containerization and scaling models.\n",
      "• Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.\n",
      "• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.\n",
      "• Willingness to travel to meet client obligations.\n",
      "\n",
      "Ideally, you'll also have\n",
      "• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.\n",
      "• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.\n",
      "• Experience working with diverse teams to deliver complex solutions.\n",
      "• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.\n",
      "• Experience fine-tuning Generative AI models.\n",
      "\n",
      "What we look for\n",
      "• You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.\n",
      "• You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.\n",
      "• You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.\n",
      "\n",
      "FY24CH\n",
      "\n",
      "What we offer\n",
      "\n",
      "We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The salary range for this job in most geographic locations in the US is $127,400 to $233,500. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $152,900 to $265,400. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.\n",
      "• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.\n",
      "• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.\n",
      "• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.\n",
      "• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.\n",
      "\n",
      "If you can demonstrate that you meet the criteria above, please contact us as soon as possible.\n",
      "\n",
      "The exceptional EY experience. It’s yours to build.\n",
      "\n",
      "EY | Building a better working world\n",
      "\n",
      "EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.\n",
      "\n",
      "Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.\n",
      "\n",
      "Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.\n",
      "\n",
      "EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.\n",
      "\n",
      "EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com\n",
      "-------------------------\n",
      "About this role\n",
      "\n",
      "We're looking for a Founding AI Engineer, who will develop and improve our AI systems. You will be working on:\n",
      "\n",
      "● Fine-tuning large language models\n",
      "\n",
      "● Developing model evals\n",
      "\n",
      "● Developing and implementing novel search, retrieval and QA algorithms\n",
      "\n",
      "● Developing and evaluating large systems of interconnected LLMs\n",
      "\n",
      "● Dealing with hard engineering constraints like latency and expensive model inference\n",
      "\n",
      "Responsibilities\n",
      "\n",
      "• Develop and improve our AI systems\n",
      "\n",
      "• Fine-tune large language models\n",
      "\n",
      "• Develop model evals\n",
      "\n",
      "• Develop and implement novel search, retrieval and QA algorithms\n",
      "\n",
      "• Develop and evaluate large systems of interconnected LLMs\n",
      "\n",
      "• Deal with hard engineering constraints like latency and expensive model inference\n",
      "\n",
      "Ideal candidate traits\n",
      "\n",
      "• Publications in top AI conferences and competitions\n",
      "\n",
      "• Experience at AI companies and research labs\n",
      "\n",
      "• Have implemented research papers into production code\n",
      "\n",
      "• Experience working in complex ML domains\n",
      "\n",
      "• Have an Electrical Engineering background\n",
      "\n",
      "• Have worked with code generation models\n",
      "\n",
      "• You would love a 0 to 1 challenge\n",
      "\n",
      "• Strong NLP, RL and math background\n",
      "\n",
      "• Comes with appealing pedagogy\n",
      "\n",
      "• Rule-Breaking: You like challenging the status quo and thinking from the ground up to innovate and develop new ideas\n",
      "\n",
      "• Problem Solvers: You are excited about solving challenging problems. You thrive in ambiguity\n",
      "\n",
      "• Optimism: A positive view of life that fuels morale and work ethic\n",
      "\n",
      "• Resilience: Ability to bounce back from setbacks without losing morale.\n",
      "\n",
      "• Initiative: Preference for starting projects and learning through doing, rather than being told to what to do\n",
      "-------------------------\n",
      "Principal AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "Capital One is currently in search of a Senior Distinguished Engineer for AI Systems to partake in constructing the base of our company's AI capabilities. As a part of the team, you will work together with AI researchers and engineers to come up with secure and reliable infrastructures, big-scale distributed training clusters, and innovative research and development ventures in the field of AI. The ideal candidate should possess extensive knowledge in cloud environments, machine learning, and distributed computing, and must have a strong motivation to lead the banking industry towards continuous innovation.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Develop a durable infrastructure to support lengthy, high-stakes training processes that depend on container and checkpointing libraries.\n",
      "• Establishing a robust infrastructure to support the deployment and operation of large machine learning models is crucial within our public cloud environment.\n",
      "• In order to enhance the efficiency of training tasks, a large-scale training cluster with a thousand nodes can be deployed and optimized in the public cloud, focusing on the optimization of storage and networking stack.\n",
      "• Develop and execute performance tests on AI software systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance.\n",
      "• Utilize big language models (LLMs) and feature models (FMs) to design and create innovative applications that meet end-user demands.\n",
      "• Developing and integrating continuous integration/continuous delivery (CI/CD) pipelines into MLOps workflows can streamline the deployment of foundation models.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical degree, such as Computer Science or Computer Engineering at the Bachelor's level, is necessary for this position.\n",
      "• With more than seven years of expertise, I specialize in developing distributed computing, high-performance computing (HPC), and extensive machine learning (ML) systems.\n",
      "• Proficient in Python or C/C++, with valuable expertise in developing AI and ML algorithms gained over 5+ years of experience.\n",
      "• My expertise spans over 3 years in the entire machine language development process, utilizing frameworks for artificial intelligence and machine learning in conjunction with the public cloud.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Possession of a Master's degree or PhD in Engineering, Computer Science, or a related technical field, or an equivalent practical experience that centers on modern AI techniques is required.\n",
      "• Proficient in developing extensive distributed systems within cloud environments like AWS, Azure or GCP.\n",
      "• With a proven track record of designing cloud systems for a wide range of industries, the candidate has extensive experience in ensuring the security, availability, performance, scalability, and cost-effectiveness of these systems.\n",
      "• Successfully navigating the MLOps life cycle to deliver extensive models has been a key area of expertise in our team.\n",
      "• Creating GPU clusters in the public cloud while integrating storage and networking in a closely-knit manner has been a challenging but rewarding experience.\n",
      "• Proficient in utilizing the full technology stack for the distributed training of large models, encompassing machine learning compilers, frameworks for distributed training, and ML development platforms including PyTorch, TensorFlow, Lightning, and others.\n",
      "• Proficient in utilizing AI technology stack encompassing areas such as prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, and fine-tuning to deliver high-quality results.\n",
      "• Scientific papers presented at highly-regarded conferences or notable contributions in the field of neural networks, distributed training, and systems modeling language (SysML).\n",
      "\n",
      "Benefits of the Posiiton:\n",
      "• Monetary rewards based on performance, including bonuses and incentives for the long-term, are known as performance-based incentive compensation.\n",
      "• Our benefits package covers everything you need to ensure your overall well-being, from healthcare to financial incentives.\n",
      "• Capital One offers several avenues for professional advancement and personal growth for its employees.\n",
      "• The workplace nurtures growth and development by promoting an inclusive and supportive atmosphere.\n",
      "\n",
      "About Company:\n",
      "\n",
      "At Capital One, our mission is centered around constructing AI systems that are dependable, ethical, and incorporate human input, enhancing the financial industry. Our primary attention is on AI and machine learning advancements that will bring about automated and intelligent customer support. With our extensive utilization of machine learning platforms and public cloud infrastructure, we possess the necessary resources to capitalize on AI's potential. Joining us will enable you to participate in the reconstruction of how we serve clients and corporations while making a substantial impact on the future of banking.\n",
      "-------------------------\n",
      "About Us:\n",
      "\n",
      "We're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.\n",
      "\n",
      "We've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.\n",
      "\n",
      "Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day).\n",
      "\n",
      "About The Role:\n",
      "\n",
      "We are looking for an AI Engineer to join our small but nimble AI team whose mission is to make Notion a product that empowers our users to tackle larger problems leveraging AI. As a more experienced member of the team, you will work on determining how best to incorporate large language models (LLMs), embeddings, and other AI technologies into Notion’s product. You’ll be exploring the boundaries of what’s possible with ML technology and finding innovative ways to apply new industry learnings to Notion’s product offering.\n",
      "\n",
      "What you’ll achieve:\n",
      "• Work with the team to prototype and experiment with new AI features\n",
      "• Productionize and launch new AI technology integrations into Notion’s core product\n",
      "• Collaborate with cross-functional teams to deliver product features on time\n",
      "• Stay up-to-date with the latest AI technologies and trends\n",
      "\n",
      "Skills You'll Need to Bring:\n",
      "• Domain Expert, Teacher and Learner: You have experience building AI products using LLMs, embeddings or other ML natural language technologies. 3+ years of experience in one or more of the following areas: machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence. You’re excited about bringing your pre-existing knowledge to the team, but you balance that with perpetual curiosity and understanding that there is always more to learn.\n",
      "• Pragmatic Problem-solver: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. You are able to think on your feet, iterate efficiently on new ideas, and are enthusiastic about shifting your thinking as new information comes to light.\n",
      "• Empathetic communication and leadership: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with and mentoring fellow engineers and work well with cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.\n",
      "• Impact-orientation and user focus: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.\n",
      "\n",
      "Nice to Haves:\n",
      "• You understand how parts of a system fit together, from the user interface to the data model. You are familiar with relational database systems like Postgres or MySQL, and have experience building products from ground up.\n",
      "• You’re proficient with data pipeline technologies: Spark, DBT, etc\n",
      "• You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.\n",
      "• You have experience driving teams toward shared goals and can balance business priorities with individuals’ strengths, areas of interest, and career development goals.\n",
      "• You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.\n",
      "• You have interests outside of technology, such as in art, history, or social sciences.\n",
      "\n",
      "We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.\n",
      "\n",
      "Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.\n",
      "\n",
      "Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $160,000 - $280,000 per year.\n",
      "\n",
      "#LI-Onsite\n",
      "\n",
      "Notion focuses on SaaS, Enterprise Software, Real Time, Collaboration, and Productivity Software. Their company has offices in New York City, San Francisco, Tokyo, Dublin, and Hyderabad. They have a large team that's between 501-1000 employees. To date, Notion has raised $335M of funding; their latest round was closed on October 2021 at a valuation of $10B.\n",
      "\n",
      "You can view their website at https://www.notion.so/ or find them on Twitter, Facebook, LinkedIn, and Product Hunt.\n",
      "-------------------------\n",
      "Dentsply Sirona is the world’s largest manufacturer of professional dental products and technologies, with a 130-year history of innovation and service to the dental industry and patients worldwide. Dentsply Sirona develops, manufactures, and markets a comprehensive solutions offering including dental and oral health products as well as other consumable medical devices under a strong portfolio of world class brands. Dentsply Sirona’s products provide innovative, high-quality and effective solutions to advance patient care and deliver better and safer dentistry. Dentsply Sirona’s global headquarters is located in Charlotte, North Carolina. The company’s shares are listed in the United States on NASDAQ under the symbol XRAY.\n",
      "\n",
      "Bringing out the best in people\n",
      "\n",
      "As advanced as dentistry is today, we are dedicated to making it even better. Our people have a passion for innovation and are committed to applying it to improve dental care. We live and breathe high performance, working as one global team, bringing out the best in each other for the benefit of dental patients, and the professionals who serve them. If you want to grow and develop as a part of a team that is shaping an industry, then we’re looking for the best to join us.\n",
      "\n",
      "Working at Dentsply Sirona you are able to:\n",
      "\n",
      "Develop faster - with our commitment to the best professional development.\n",
      "\n",
      "Perform better - as part of a high-performance, empowering culture.\n",
      "\n",
      "Shape an industry - with a market leader that continues to drive innovation.\n",
      "\n",
      "Make a difference -by helping improve oral health worldwide.\n",
      "\n",
      "Position Summary:\n",
      "\n",
      "As a Senior AI/ML engineer with Dentsply Sirona, you will work at the forefront of AI/ML product development: embedded in our muti-cultural and worldwide R&D team, leveraging the reach of Dentsply Sirona’s cloud-based ecosystem DS Core. In close collaboration with the AI/ML scientists, you will bring AI/ML research to life by providing end-to-end on-cloud solutions surrounding AI/ML research. At Dentsply Sirona, we work with Google Cloud, giving you the tools and power you need to solve intriguing challenges, and the opportunity to grow your technical skill both in depth and breadth while developing medical grade products.\n",
      "\n",
      "Key Responsibilities:\n",
      "• Contributes to the system design for our AI/ML-based services.\n",
      "• Designs and develops testing and monitoring tools for ML models.\n",
      "• Designs and builds data pipelines (from storage to monitoring/telemetry).\n",
      "• Designs, develops, and supports our CI/CD pipeline for AI/ML-based services.\n",
      "• Researches and adopts best MLOps (Machine Learning Operations) practices.\n",
      "• Provides deployment tools for ML scientists.\n",
      "• Provides and maintains ML research and experimenting tools\n",
      "\n",
      "Education:\n",
      "• Master’s degree in computer science, statistics, mathematics, or related field.\n",
      "\n",
      "Years and Type of Experience:\n",
      "• 10+ Prior experience developing microservices\n",
      "\n",
      "Key Required Skills, Knowledge, and Capabilities:\n",
      "• Experience in building and optimizing data/ML model pipelines and projects in an industry\n",
      "• Experience in cloud infrastructure development: GCP, AWS, or Azure\n",
      "• Experience in developing data products handling heterogeneous data sets\n",
      "• Strong understanding of software testing, benchmarking, and continuous integration\n",
      "• Solid understanding of engineering and infrastructure best practices, general software development principles\n",
      "• Proficiency in at least one of the following languages: Golang, C++, Python, Rust, Java\n",
      "• Experience in one of the ML model development libraries is a plus: TensorFlow, PyTorch, scikit-learn, etc.\n",
      "• Experience working with image (2D, 3D), point cloud or mesh data is a plus.\n",
      "• Experience working in the cloud, preferably GCP\n",
      "• Experience in the field of medical technology and medical device development is a plus\n",
      "• Exceptional problem solving, technical and data analysis skills\n",
      "• Fast learner, agility to keep knowledge and technical stack up to date\n",
      "• Excellent written, verbal presentation, and communication skills in English\n",
      "\n",
      "#LI-BM1\n",
      "\n",
      "Dentsply Sirona is an Equal Opportunity/ Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, disability, or protected Veteran status. We appreciate your interest in Dentsply Sirona.\n",
      "\n",
      "If you need assistance with completing the online application due to a disability, please send an accommodation request to careers@dentsplysirona.com. Please be sure to include “Accommodation Request” in the subject.\n",
      "\n",
      "For California Residents:\n",
      "\n",
      "We may collect the following categories of personal information in connection with the submission of your resume or application materials to us for employment, and if hired, your employment with us: identifiers (e.g., name, address, email address, birthdate); personal records (e.g., telephone number, signature, education information, criminal background information, passport number and visa information); consumer characteristics (e.g., sex, marital status, veteran status, race, disability, sexual orientation); professional or employment information (e.g., resume, cover letter, employment history, background check forms, references, certifications, transcripts and languages spoken); and inferences from personal information collected (e.g., a profile reflecting abilities and aptitudes).\n",
      "\n",
      "The above categories of personal information are collected for the following business purposes: performing recruitment and hiring services; processing interactions and transactions (e.g., to comply with federal and state laws requiring us to maintain certain records, managing the workforce); and security (e.g., detecting security incidents, protecting against fraudulent or illegal activity).\n",
      "\n",
      "For additional details and questions, contact us at careers@dentsplysirona.com\n",
      "-------------------------\n",
      "Penn Engineering IDEAS Initiative Tenure-Track Faculty Positions\n",
      "in Artificial Intelligence, Data Science and Machine Learning 2023\n",
      "-2024\n",
      "\n",
      "Location: Philadelphia, PA\n",
      "\n",
      "Open Date: Oct 09, 2023\n",
      "\n",
      "Deadline:\n",
      "\n",
      "The School of Engineering and Applied Science at the University of\n",
      "Pennsylvania is growing its faculty thanks to a major $750M investment in science, engineering\n",
      "and medicine. As part of this initiative, the Center\n",
      "for Innovation in Data Engineering and Science (IDEAS) is\n",
      "engaged in an aggressive hiring effort for multiple tenured or\n",
      "tenure-track faculty positions in Artificial Intelligence, Data\n",
      "Science and Machine Learning.\n",
      "\n",
      "IDEAS is seeking candidates with an exceptional promise for, or a\n",
      "proven record of, cross-disciplinary and multi-disciplinary\n",
      "research achievement, who will take a position of international\n",
      "leadership in defining their field of study and who will excel in\n",
      "undergraduate and graduate education. Areas of interest include but\n",
      "are not limited to:\n",
      "\n",
      "1. Foundations of AI/ML/DS: understanding the\n",
      "mathematical foundations of AI/ML/DS to enable the development of\n",
      "the next generation of data-driven methods.\n",
      "\n",
      "2. Scientific AI/ML/DS: data-driven approaches\n",
      "that can transform scientific discovery and modeling of new\n",
      "phenomena across engineering and science.\n",
      "\n",
      "3. Bio-inspired AI/ML/DS: developing new paradigms\n",
      "for bridging the gap between human and machine learning,\n",
      "bio-inspired computing, and AI in health.\n",
      "\n",
      "4. Trustworthy AI/ML/DS: design and engineering of\n",
      "fair, ethical, explainable, robust, safe, and trustworthy\n",
      "autonomous systems.\n",
      "\n",
      "Leadership in cross-disciplinary and multi-disciplinary\n",
      "collaborations is of particular interest, leveraging Penn's\n",
      "strengths in cutting-edge scientific and clinical data.\n",
      "Opportunities for interactions across the University include the\n",
      "Warren\n",
      "Center for Networks and Data Science, the Center for\n",
      "AI-Enabled Systems (ASSET), the PRECISE Center for Safe AI,\n",
      "the GRASP\n",
      "Laboratory, the Center for AI and Data Science for Integrated Diagnostics\n",
      "(AI2D), Penn Institute for Biomedical Informatics (IBI), the\n",
      "Singh Center\n",
      "for Nanotechnology, the Materials\n",
      "Research Science & Engineering Center (MRSEC), the Center for Soft\n",
      "and Living Matter, the Center for Mechanobiology, and Penn Institute for\n",
      "Computational Science (PICS).\n",
      "\n",
      "We are especially interested in candidates with a diversity of\n",
      "experiences and perspectives. Penn Engineering strongly supports\n",
      "dual career couples, and we welcome and encourage inquiries about\n",
      "dual career assistance (for academic and non-academic\n",
      "opportunities) at an early stage of the recruitment process.\n",
      "\n",
      "Qualifications\n",
      "\n",
      "Candidates must hold a Ph.D. in Engineering, Science, or related\n",
      "areas. Primary appointments will be in the academic Department most\n",
      "appropriate for the candidate within the School of Engineering and\n",
      "Applied Science. Joint appointments with other departments in other\n",
      "schools will also be considered.\n",
      "\n",
      "Application Instructions\n",
      "\n",
      "Interested persons should submit an online application and include\n",
      "curriculum vitae, research, teaching, and diversity statements, and\n",
      "at least three confidential letters of recommendation. In addition,\n",
      "the candidate should indicate their desired department within the\n",
      "School of Engineering and Applied Sciences.\n",
      "\n",
      "Applications should be submitted at:\n",
      "• IDEAS Tenured or\n",
      "Tenure-track Faculty Positions, 2023-2024\n",
      "\n",
      "Review of applications will begin on December 1, 2023. Candidates\n",
      "should be available for in person interviews on February 12-13,\n",
      "19-20, 26-27.\n",
      "\n",
      "For technical assistance with your application, contact Interfolio\n",
      "Scholar Services by email at help@interfolio.com or by phone at\n",
      "(877) 997-8807 from 9:00 - 6:00 EST on Monday - Friday.\n",
      "\n",
      "For non-technical assistance regarding this posting please contact\n",
      "faculty-affairs@seas.upenn.edu\n",
      "\n",
      "To apply, visit https://apply.interfolio.com/133592\n",
      "\n",
      "The University of Pennsylvania values diversity and seeks\n",
      "talented students, faculty and staff from diverse backgrounds. The\n",
      "University of Pennsylvania is an equal opportunity and affirmative\n",
      "action employer. Candidates are considered for employment without\n",
      "regard to race, color, sex, sexual orientation, gender identity,\n",
      "religion, creed, national or ethnic origin, citizenship status,\n",
      "age, disability, veteran status or any other legally protected\n",
      "class. Questions or concerns about this should be directed to the\n",
      "Executive Director of the Office of Affirmative\n",
      "Action and Equal Opportunity Programs, University of\n",
      "Pennsylvania, 421 Franklin Building, 3451 Walnut Street,\n",
      "Philadelphia, PA 19104-6205; or (215) 898-6993 (Voice) or (215)\n",
      "898-7803 (TDD).\n",
      "\n",
      "jeid-d634bdc37caeb04cbf252d787cf1a610\n",
      "-------------------------\n",
      "Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you're as passionate about your future as we are, join our team.\n",
      "\n",
      "KPMG is currently seeking an Associate Director, Generative AI Prompt Engineer to join our Automation COE team.\n",
      "Responsibilities:\n",
      "• Develop and refine prompts to interact effectively with generative AI models, ensuring high-quality, relevant, and contextually accurate outputs\n",
      "• Collaborate with cross-functional teams, including machine learning engineers, product managers, and UX designers, to integrate prompt-driven AI features into products\n",
      "• Conduct thorough testing and iteration of prompts based on user feedback and model performance data to continually improve output quality\n",
      "• Stay abreast of the latest developments in AI and prompt engineering practices to ensure our approaches remain cutting-edge\n",
      "• Address and mitigate biases in AI responses, promoting ethical AI usage that respects user privacy and fairness\n",
      "• Document prompt design processes and decisions, providing clear guidelines for best practices in prompt engineering within the organization\n",
      "Qualifications:\n",
      "• Minimum eight years of recent work experience\n",
      "• Bachelor's degree from an accredited college/university in computer science, linguistics, cognitive science, or a related field\n",
      "• Proven experience in prompt engineering, AI development, or a similar role, with a strong portfolio of projects demonstrating expertise in generating effective AI interactions; familiarity with AI ethics, including understanding and mitigating biases in AI outputs\n",
      "• Experience with natural language processing (NLP) and machine learning (ML) frameworks and tools preferred; advanced degree in a relevant field as well as published work or contributions to the field of AI, NLP, or computational linguistics preferred\n",
      "• Deep understanding of generative AI technologies and their underlying mechanisms; excellent problem-solving skills and creativity in designing prompts for complex queries\n",
      "• Exceptional collaboration and communication skills, with the ability to work effectively in a team and articulate ideas to both technical and non-technical stakeholders; agility and adaptability in a fast-paced, evolving technology landscape\n",
      "\n",
      "KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at “Benefits & How We Work”.\n",
      "\n",
      "Follow this link to obtain salary ranges by city outside of CA:\n",
      "\n",
      "https://www.kpmg.us/work-for-kpmg/pay-transparency.html/?id=4365-9\n",
      "\n",
      "KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.\n",
      "\n",
      "KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.\n",
      "\n",
      "KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).\n",
      "-------------------------\n",
      "Description and Requirements\n",
      "Role Overview\n",
      "The Cloud Engineering and Enablement organization provides services for application and platform teams to utilize cloud services in an efficient, safe, and compliant manner. We maintain a global view of cloud adoption and leverage infrastructure as code to engineer a cloud platform providing self-service capabilities and metrics to drive desired behaviors around financial operations, security posture, and overall good hygiene for cloud-based applications.\n",
      "As part of our continued focus on driving efficiencies related to cloud adoption and developer productivity, we are looking for an experienced Senior Principal AI engineer to work as part of a multidisciplinary team with the mission to research, develop, and implement responsible use of AI to provide superior customer service and create operational and market differentiating capabilities to further establish MetLife as a global industry leader in the Insurance and Financial Services industry.\n",
      "The Senior Principal AI engineer will utilize deep learning, neuro-linguistic programming, computer vision, chatbots, model fine-tuning, and retrieval augmented generation to help us improve various business outcomes and drive innovation.\n",
      "Objectives of this role\n",
      "• Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy\n",
      "• Understand company and customer challenges and how integrating AI capabilities can help lead to solutions\n",
      "• Lead cross-functional teams in identifying and prioritizing key areas of business where AI solutions can drive significant business benefit\n",
      "• Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards\n",
      "\n",
      "Responsibilities\n",
      "• Advise senior executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI\n",
      "• Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team, internal partners, and executive leadership\n",
      "• Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation\n",
      "• Stay abreast of advancements in the AI and automation market and competitor landscape\n",
      "• Research, develop, and test various language models against internal benchmarks to identify the most optimal model for the given use case\n",
      "\n",
      "Reports to: VP, Cloud Engineering\n",
      "Preferred skills and qualifications\n",
      "• Bachelor's Degree in Computer Science, Information Systems, Business Administration, Engineering, or related field.\n",
      "• 10+ years of experience in cloud and infrastructure engineering in a large enterprise\n",
      "• 5+ years of Experience with cloud service providers such as Azure (mandatory), AWS & GCP (preferred)\n",
      "• Two or more years of experience in applying AI to practical and comprehensive technology solutions\n",
      "• Experience with ML, deep learning, TensorFlow, Python, NLP\n",
      "• Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns\n",
      "• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations\n",
      "\n",
      "Equal Employment Opportunity/Disability/Veterans\n",
      "If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.\n",
      "MetLife maintains a drug-free workplace.\n",
      "#BI-Hybrid\n",
      "-------------------------\n",
      "OVERVIEW\n",
      "\n",
      "Join our Team and help inspire the next generation of Data+AI Professionals.\n",
      "\n",
      "CR is actively looking for a AI/ML engineer to join our Data Office to execute on a strategic multi-year roadmap focussed on generative AI .We are a mission based organization pursuing an AI Strategy that will drive value for our customers, give our employees superpowers, and address AI harms in the digital marketplace.\n",
      "\n",
      "The AI/ML Engineer will leverage emerging data technologies and applied AI/ML techniques/frameworks to build reliable, scalable and maintainable production-ready applications.\n",
      "\n",
      "Under our CRFlex program, this position is eligible for Fully Remote status for candidates who live more than 75 miles from one of our main office locations (Yonkers, NY, Washington DC, Colchester, CT). Additionally, the successful candidate must reside in one of the following locations: Arizona, California, Connecticut, Illinois, Massachusetts, Michigan, New Hampshire, New York, Texas, Vermont, Washington D.C.\n",
      "\n",
      "This position is not eligible for sponsorship\n",
      "\n",
      "HOW YOU'LL MAKE AN IMPACT\n",
      "\n",
      "How You’ll Make An Impact\n",
      "• Develop end-to-end AI/ML pipelines\n",
      "• Collaborate with cross functional teams (business, product, UI/UX and engineering etc) to understand the requirements and automate AI/ML pipelines\n",
      "• Optimize AI/ML models for performance and scalability\n",
      "• Deploy and monitor AI Solutions in production\n",
      "• Advocate for responsible AI practices, ensuring the ethical use of AI/ML and adherence to data privacy and compliance standards.\n",
      "\n",
      "ABOUT YOU\n",
      "\n",
      "You’ll Be Highly Rated If:\n",
      "• Bachelor's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related field\n",
      "• 3+ years of professional working experience in AI/ML engineering projects\n",
      "• Strong foundations in Computer Science, Math, Probability, Statistics, Machine Learning, Image Processing , Natural Language Processing (NLP), and Generative AI concepts,\n",
      "• Expert in Python, SQL, Unix Scripting and related libraries and frameworks.\n",
      "• Experience building end-to-end production grade AI/ML pipelines in cloud (AWS + Databricks)\n",
      "• Excellent communication and collaboration skills to partner with business and technology\n",
      "\n",
      "You'll be one of our top picks if:\n",
      "• Exposure to LLMs (OpenAI GPT, BERT, BART, Dolly etc)\n",
      "\n",
      "WHO WE ARE\n",
      "Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for consumers. Our team is made up of truth tellers, change agents, and consumer advocates who investigate and build coalitions to fight for fairness and justice in the marketplace. We leverage our evidence-based approach to demand safer products, a healthier environment, and equitable services for everyone. Our mission starts with you. We offer medical benefits from that start on your first day as a CR employee that include behavioral health coverage and unlimited sick days. There’s also generous family planning benefits and a generous 401K match. Learn more about how CR’s advocates for strong benefits on behalf of their employees here: https://www.consumerreports.org/cro/careers/landing-page/index.htm\n",
      "FAIR PAY & A JUST WORKPLACE\n",
      "At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation. The target salary range for this position is $140k to $160k. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience. Consumer Reports proudly seeks to build a richly diverse workforce by hiring people with a diversity of thoughts, identities, perspectives, and experiences that help advance the difference we make for consumers, and by ensuring our people experience equity and inclusion in their work lives. We encourage members of traditionally underrepresented communities to apply, including women, LGBTQIA people, people of color, and people with disabilities.\n",
      "-------------------------\n",
      "Summary\n",
      "Posted: Mar 22, 2024\n",
      "\n",
      "Role Number:200543937\n",
      "\n",
      "Play a part in the next revolution in human-computer interaction. Contribute to the product that is redefining mobile computing through voice interaction. You will help create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. And work with the people who created the always-on always learning best in class intelligent voice assistant that helps millions of people get things done — just by saying “Hey Siri”. Join the Siri team at Apple!\n",
      "\n",
      "The Siri team is looking for a machine learning engineer to develop and advance frictionless voice invocation experience on Apple’s innovative devices enabling compelling new conversational features for Siri interactions. You should be eager to do hands-on work to improve and build features to improve overall Siri capabilities. You should enjoy working in a constantly evolving environment with changing priorities, be passionate about using new technologies to solve real problems and to improve the state of intelligent assistants.\n",
      "\n",
      "Key Qualifications\n",
      "\n",
      "Key Qualifications\n",
      "• Strong background in applied machine learning and deep learning; experience in speech, speaker, and/or language recognition a plus\n",
      "• Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globally\n",
      "• Strong coding skills in Python, C/C++; comfortable with frequent, incremental code testing and deployment\n",
      "• Demonstrated strength in handling technical uncertainty and collaborating with partner teams to solve complex machine learning modeling problems\n",
      "\n",
      "Description\n",
      "\n",
      "Description\n",
      "You will be part of a team that is responsible for developing and integrating Siri’s speech and audio experience in a full range of Apple devices. Your focus will be to continuously improve the invocation experience of Siri voice assistant on all Apple devices across the globe. You will collaborate with researchers to develop advanced machine learning (ML) technologies and agile deployment processes which are easier to scale using the best automation practices. This position requires passion for improving the ML training and evaluation infrastructure for improved research efficiency, and faster modeling iterations. You will work with the speech, audio hardware and software engineering teams to deliver a great speech user experience. You must have a “make this happen” attitude and willingness to also work hands-on in building tools, testing, running experiments as well as work with state-of-the-art speech and audio processing algorithms. You should thrive in a fast paced environment and collaborate well with other engineering teams at Apple.\n",
      "\n",
      "Education & Experience\n",
      "\n",
      "Education & Experience\n",
      "PhD in a Machine Learning, Computer Science or related field, or M.S. with 3+ experiences in the area of Speech/Language Processing or Machine Learning\n",
      "\n",
      "Additional Requirements\n",
      "\n",
      "Additional Requirements\n",
      "• Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.\n",
      "\n",
      "Pay & Benefits\n",
      "\n",
      "Pay & Benefits\n",
      "• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $138,900.00 and $256,500.00, and your base pay will depend on your skills, qualifications, experience, and location.\n",
      "\n",
      "Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.\n",
      "\n",
      "Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.\n",
      "\n",
      "Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.\n",
      "-------------------------\n",
      "Introduction to Shield AI\n",
      "\n",
      "Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies.\n",
      "\n",
      "Job Description:\n",
      "\n",
      "Are you a passionate and innovative Electrical Engineer looking to help develop state-of-the-art AI products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! Join us and help define elegant, high-performance computing, sensing, communication, and power systems to support our VBAT aircraft.\n",
      "\n",
      "What you'll do:\n",
      "• Own and contribute to circuit board and system designs for the VBAT and supporting equipment. These require complex system architectures utilizing custom circuitry. Our designs include processing, power management, analog, digital, RF, controls, sensors, cameras, etc.\n",
      "• Own and contribute to the design of specific product features while working with cross-functional teams (mechanical, embedded, software, production, supply chain, etc.)\n",
      "• Contribute to schematic capture, modeling, simulation, analysis, verification,\n",
      "• debugging, and release to production\n",
      "• Provide feedback on status of your project schedule and deliverables\n",
      "• Contribute to and attend cross-functional design reviews\n",
      "• Work closely with CAD engineering for PCB layout\n",
      "• Help develop automated test solutions.\n",
      "• Other duties as assigned.\n",
      "\n",
      "Required Qualifications:\n",
      "• You have a B.S. in Electrical Engineering or equivalent (or will be graduating in 2024)\n",
      "• You have experience as an electrical engineer such as full-time, internship, co-op, engineering club, etc.\n",
      "• You have experience with: circuit design, schematic capture, component selection, and circuit testing.\n",
      "• You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others\n",
      "\n",
      "$70,550 - $105,825 a year\n",
      "\n",
      "#LI-JM2\n",
      "\n",
      "#LA\n",
      "\n",
      "Total package details:\n",
      "\n",
      "Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity\n",
      "\n",
      "Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days of employment)\n",
      "• Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity\n",
      "\n",
      "Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background check.\n",
      "\n",
      "If you're interested in being part of our team, apply now!\n",
      "\n",
      "Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.\n",
      "-------------------------\n",
      "AI/Computer Vision Engineer Zabble is looking for an AI/Computer Vision Engineer who is interested in working with a small, mission-oriented, stable and growing tech company with patented solutions for the waste industry. Can you help us elevate our users experience on our platform with next-level computer vision models? Sound like your kind of challenge? *** Due to U.S. government grant restrictions, applicants must currently be U.S. citizens or U.S. permanent residents *** *** Preference to applicants residing in California *** ABOUT YOU Youre curious. Youre detail-oriented. Youre an innovator who is relentless in trying to solve problems. Especially, when it helps the planet. Youre an outstanding communicator who loves working in a remote capacity. You are a fast learner and can get things done without much help. You like being organized with your documentation and code, and maintain a high standard for data-driven model evaluation and performance. You go above and beyond in seeking challenges and leveraging resources to expand your knowledge and master the space. ABOUT THE ROLE Your primary focus will be on research, implementation and delivery of groundbreaking computer vision AI models and algorithms for real-time waste analytics. Youll gain real-world experience developing and refining image classification models on real-world data to classify bin fullness and detect objects to identify contamination. Your contribution will help improve the user experience for Zabbles customers who inspect materials in the field every day. You will be working alongside other engineers and developers working on different layers of the product infrastructure. Here are the skills and experiences youll need: Minimum Bachelors degree in Computer Science or similar programCompleted projects on computer vision AI to train, test and deploy models on mobile device applications or dedicated hardwareAdvanced working knowledge of PythonProfessional experience with PyTorch and other standard ML frameworksProfessional experience with image classification and computer vision modelsAdvanced working knowledge with AWS Sagemaker or similar tools and platformsExcellent clarity and communication in presenting results through charts, plots and metricsFamiliarity with developing RESTful APIs for model inference a plusExperience contributing to academic publications on computer vision or related topics MORE DETAILS This is a full-time, exempt position with benefits including stock options, health insurance, unlimited vacation and sick days This is a remote position; California-based candidates will be preferredAnnual salary starting at $100,000Due to U.S. government grant restrictions, applicants must currently be U.S. citizens or U.S. permanent residents\n",
      "-------------------------\n",
      "This is an exciting opportunity to join our company’s AI CoE team which is transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. Your focus will be developing the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions including but not limited to BERT, RoBERTA, and GPT for a number of Natural Language Processing (NLP) tasks.\n",
      "\n",
      "In this role, you will be responsible for:\n",
      "• Utilizing Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks, to build transformative solutions.\n",
      "• Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.\n",
      "• Working with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions.\n",
      "• Building solutions that align with responsible AI practices.\n",
      "• Working with both open-source models (TensorFlow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions, and external partners to deliver the best solutions.\n",
      "• Optimizing existing generative AI models for improved performance, scalability, and efficiency.\n",
      "• Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.\n",
      "\n",
      "The qualified candidate will have:\n",
      "• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.\n",
      "• 7+ years of experience in core AI techniques including NLP (Natural Language Processing), ML (Machine Learning) and Deep Learning.\n",
      "• 1+ years of direct Generative AI (GenAI) and building LLMs experience.\n",
      "• Research experience with sequential modeling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.\n",
      "• Programming experience in C/C++, Java, Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning.\n",
      "• Experience with Machine Learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.\n",
      "• Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.\n",
      "• Strong knowledge of data structures, algorithms, and software engineering principles.\n",
      "• Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.\n",
      "• Experienced technical project manager with abilities to collaborate with business leaders, set technical direction and help push the business forward with a customer focused perspective.\n",
      "• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.\n",
      "• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.\n",
      "• Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.\n",
      "\n",
      "If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.\n",
      "\n",
      "About The Cigna Group\n",
      "\n",
      "Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.\n",
      "\n",
      "Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.\n",
      "\n",
      "If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.\n",
      "\n",
      "The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.\n",
      "-------------------------\n",
      "NVIDIA is seeking a Principle Machine Learning Engineer to lead our Content Safety & ML Fairness efforts for LLMs across all of our Research and Production Engineering teams, and to coordinate with Legal, Policy, Ethics and Security. Content Safety & ML Fairness are essential to the responsible development and deploying Large Language Models (LLMs). NVIDIA is in a unique position: we are developing AI-based products across multiple domains, and we collaborate with many exciting AI companies as partners and customers. In this role, you’ll work with the teams who are developing Large Language Models (LLMs) aka Generative AI for text. Our LLMs are a growing area of AI products including models and services, and we are committed to ensuring that they are used safely and responsibly. This key position will ensure the highest content safety possible by reducing exposure to inappropriate material, preventing bias and discrimination which is essential to protect both individual rights and to achieve the best quality of results including accuracy and completeness of information. By prioritizing safety and fairness, we can ensure that LLMs benefit everyone and contribute to a better future for all. What you'll be doing: Craft, orchestrate and realize the Content Safety & ML Fairness vision, mission, strategy, work and delivery across multi-functional teams. Conduct technical review of existing methods and emerging approaches from academia and industry, and be our expert on what we can purchase or open source vs building. Including staying up-to-date with the latest research and advancements in Content Safety and ML Fairness. Research and implement innovative techniques for bias detection and mitigation in LLMs and systems using LLMs like RAGs. Follow, connect and guide the work across Foundation, Alignment and PEFT modeling and evaluation work, as well as pre-and-post Inference-time guardrails, dataset assessment, and model evaluation tools. Define one technical roadmap for these teams. Ensure the problems are solved in the most appropriate place in a sophisticated landscape of models derived from other models. Define the datasets and modeling techniques, classification and evaluation strategy for designing, training and evaluating models and end-to-end systems for Content Safety and ML Fairness. Including a mix of LLM, Supervised learning, and other approaches. Ensure high quality execution, review, and (where applicable) threshold of models. Define and supervise key metrics for responsible LLM behavior and usage. Follow the best MLOps practices of automation, monitoring, scale, safety, fairness. Develop a unified MLOps methodology that ML teams can follow to be highly productive and deliver safe and fair AI products. Contribute to the MLOps platform and develop safety and fairness tools to help ML teams be more effective. Champion standard methodologies for responsible LLM development and deployment across the company and our partners. Collaborate with other engineers, data scientists, and researchers to develop and implement solutions to content safety and ML fairness challenges. What we need to see: You have a Master’s or PhD in Computer Architecture, Computer Science, Electrical Engineering or related field or equivalent experience. Strong understanding of machine learning principles and algorithms. 8+ years of Work Experience in developing and deploying machine learning models in production. Collaborated with multiple teams to bring research into enterprise, developer or consumer products. Ability to lead technical projects from problem to solution. Experience with two or more of the following broader areas for 5+ years: ML Fairness, Content Safety, Deliberative Misinformation, Robustness, Security, or related areas. Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application. Background with ML Fairness/De-biasing: de-biasing of models at training, de-biasing of results at inference, fairness metrics and bias detection techniques. Experience with explainable AI (XAI) techniques, and large datasets. Ways to stand out from the crowd: Have more than the minimum experience required within the Content Safety and ML Fairness areas listed above Experience with Robustness including Hallucinations, Digressions, Generative Misinformation. Background with GenAI Security including Prompt Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness. Experience with legal and regulatory compliance. Experience with leadership in Content Safety and/or ML Fairness across large organizations with multiple teams/groups, with a consistent record of extensive indirect influence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest pioneering fields: Deep Learning, Artificial Intelligence, and Large Language Models. If you're a creative engineer with a real passion for robust and enjoyable user experiences, we want to hear from you! The base salary range is 272,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.\n",
      "-------------------------\n",
      "About Slickdeals:\n",
      "\n",
      "On a mission to bring the joy of discovering a great deal to shoppers, Slickdeals thrives on the active participation of its 12-million-strong community. Users share, upvote, and uncover the best prices on popular products from trustworthy brands.\n",
      "\n",
      "With a robust track record of 24 years in business, marked by profitability and a thriving community that has saved more than $10 billion, Slickdeals is currently undergoing a transformation. As we evolve into a daily shopping destination for millions more, joining Slickdeals presents an exciting opportunity for entrepreneurially minded builders to create an innovative deal discovery platform.\n",
      "\n",
      "Technology plays a pivotal role in our efforts to discover and present the best online deals to our customers. The Shopping Graph team builds AI-enhanced platforms to construct a knowledge graph encompassing premium brands, merchants, products, and merchandise on the internet. The Shopping Graph connects shoppers with merchandise. It consolidates information from various shopping sources, allowing consumers to access comprehensive details about a product – including where to purchase it, pricing details, related videos, reviews, and its practical impact on their lives.\n",
      "\n",
      "What You’ll Do:\n",
      "\n",
      "In this role, you will play a pivotal part in shaping and executing our overall architecture and strategy, working with cutting-edge technologies like generative AI and graph data storage. Please note that this is not a position solely focused on prompt engineering, although the job may involve prompt engineering tasks. You will collaborate with a highly skilled team of engineers, and your contributions will directly impact our ability to acquire, enrich, and deliver high-quality merchandise discounts to consumers.\n",
      "\n",
      "Your responsibilities will include:\n",
      "• Architect and Develop Backend Systems: Collaborate closely with product managers to drive product innovations, design, develop, and maintain robust, scalable data systems, and data pipelines.\n",
      "• Data Curation and Data Intelligence: Retrieve and scrape data from the public internet, classify, transform and curate raw data into structured and usable formats. Implement code to clean, augment data and derive insights from data.\n",
      "• Collaboration: Collaborate with cross-functional teams including product managers, data analysts, and domain experts to understand their requirements and deliver actionable insights\n",
      "• Documentation: Maintain comprehensive documentation for our systems and processes, making it easy for team members to understand and use.\n",
      "• Mentorship: Provide technical leadership and mentorship to junior engineers, fostering their growth and development\n",
      "• Stay Current: Keep abreast of emerging technologies and industry best practices.\n",
      "\n",
      "What We're Looking For:\n",
      "\n",
      "Required Experience:\n",
      "• Experience developing and deploying web applications, with a proven track record of shipping to market\n",
      "• Bachelor's or Master's degree in Computer Science, Engineering, or related engineering field\n",
      "• Proficiency in programming languages such as Python, Javascript, Typescript, Go or Java\n",
      "• Are familiar with AI concepts and technologies, including large language models, fine tuning, vector databases, prompt engineering and AI frameworks such as RAG.\n",
      "• Excellent problem-solving skills and a passion for delivering high-quality data solutions\n",
      "• Ability to diagram, articulate, and document data science and engineering concepts\n",
      "• Strong communication and collaboration skills\n",
      "\n",
      "Preferred Experience:\n",
      "• Experience with asynchronous or event based systems. Working experience with Kafka or AWS SQS.\n",
      "• Experience with cloud technologies in AWS or GCP as well as container systems such as Docker or Kubernetes\n",
      "• Experience with data modeling, ETL processes, and data warehousing.\n",
      "• Familiarity with orchestration tools such as Apache Airflow or AWS step functions\n",
      "\n",
      "LOCATION: San Mateo, Los Angeles, or Las Vegas\n",
      "\n",
      "Flexible hybrid schedule visiting our San Mateo, Los Angeles, or Las Vegas office.\n",
      "\n",
      "Slickdeals Compensation, Benefits, Perks:\n",
      "• Competitive salary based on your experience\n",
      "• Equity, become a Slickdeals stakeholder\n",
      "• Platinum level medical benefits\n",
      "• Dental, Vision, & Life Insurance\n",
      "• 401K matching above the industry standard\n",
      "• 10 vacation days, 10 paid holidays, & 48 hours of sick leave\n",
      "• Professional Development Reimbursement Program and LinkedIn Learning Membership\n",
      "\n",
      "Work Authorization\n",
      "\n",
      "Candidates must be eligible to work in the United States.\n",
      "\n",
      "Slickdeals is an Equal Opportunity Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Slickdeals will consider qualified applicants with criminal histories consistent with the \"Ban the Box\" legislation. We may access publicly available information as part of your application.\n",
      "\n",
      "Slickdeals participates in E-Verify. For more information, please refer to E-Verify Participation and Right to Work.\n",
      "\n",
      "Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees.\n",
      "-------------------------\n",
      "ABOUT KHAN ACADEMY\n",
      "\n",
      "Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone, anywhere. Our proven learning platform offers free, high-quality supplemental learning content and practice that cover Pre-K - 12th grade and early college core academic subjects, focusing on math and science. We have over 155 million registered learners globally and are committed to improving learning outcomes for students worldwide, focusing on learners in historically under-resourced communities.\n",
      "\n",
      "OUR COMMUNITY\n",
      "\n",
      "Our students, teachers, and parents come from all walks of life, and so do we. Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger. We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve. We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional.\n",
      "\n",
      "THE ROLE\n",
      "\n",
      "Currently we are focused on providing equitable solutions to historically under-resourced communities of learners and teachers, and guided by our Engineering Principles. On the Product team, you might work on projects such as:\n",
      "• Integrating state of the art learning science into our product to enable learners and teachers to quickly identify and address learning gaps on the fly.\n",
      "• Partnering with public school districts with a high percentage of Free and Reduced Price Lunch students to build and scale our teacher and learner tools to millions of learners who otherwise would not have discovered us.\n",
      "• Building tools for teachers to use Khan Academy as a strategic supplement in their classrooms.\n",
      "\n",
      "With the recent launch of Khanmigo and Artificial Intelligence (AI) as a technology, this role will help harness the power of AI to deliver the product capabilities where applicable.\n",
      "\n",
      "We are a remote-first organization and we strive to build using technology that is best suited to solving problems for our learners. Currently, we build with Go, GraphQL, JavaScript, React & React Native, Redux and we adopt new technologies like LLMs when they’ll help us better achieve our goals. At Khan, one of our values is “Cultivate Learning Mindsets”, so for us, it’s important that we’re working with all of our engineers to help match the right opportunity to the right individual, in order to ensure every engineer is operating at their “learning edge”.\n",
      "\n",
      "You can read about our latest work on our Engineering Blog. A few highlights:\n",
      "• Incremental Rewrites with GraphQL\n",
      "• Our Transition to React Native\n",
      "• Go + Services = One Goliath Project\n",
      "• How Engineering Principles Can Help You Scale\n",
      "• How to upgrade hundreds of React components without breaking production\n",
      "\n",
      "WHAT YOU BRING\n",
      "• 5+ years experience building world-class product experiences for an interactive web-app. In particular, you have built and maintained scalable backend services, as well as complex, stateful frontend user interfaces.\n",
      "• Experience using Generative AI / LLMs to build products. Knowledge of common prompt engineering techniques, current state of generative models, and engineering techniques such as RAG.\n",
      "• Strong technical project management skills, as our Senior Software Engineers often lead projects.\n",
      "• Experience building and maintaining complex software. You’ll join us in writing clean, maintainable software that solves hard problems. You’ll write testable, quality code. You’ll push the team and the mission forward with your contributions.\n",
      "• Strong communication, thoughtfulness, and desire to give and receive regular feedback\n",
      "• Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere.\"\n",
      "• Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.\n",
      "• Empathy for learners around the world. You love learning and are excited about helping others learn to love learning. You’re motivated to learn new things and share what you learn with the world.\n",
      "• Excitement about helping Khan Academy bring a free, world-class education to the world.\n",
      "\n",
      "WE WELCOME\n",
      "\n",
      "Candidates with experience in any and all technologies. We don’t require experience in any particular language or tool. Our commitment to on-boarding and mentorship means you won’t be left in the dark as you learn new technologies.\n",
      "\n",
      "PERKS AND BENEFITS\n",
      "\n",
      "We may be a non-profit, but we reward our talented team extremely well! We offer:\n",
      "• Competitive salaries\n",
      "• Ample paid time off as needed – Your well-being is a priority.\n",
      "• Remote-first culture - that caters to your time zone, with open flexibility as needed, at times\n",
      "• Generous parental leave\n",
      "• An exceptional team that trusts you and gives you the freedom to do your best\n",
      "• The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education\n",
      "• Opportunities to connect through affinity, ally, and social groups\n",
      "• And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life\n",
      "\n",
      "At Khan Academy we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being.\n",
      "\n",
      "The target salary range for this position is $137,781 - $172,339 USD / $172,226 - $215,424 CAD. The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate’s relevant skills, experience, qualifications, and job market data. Exceptional performers in this role who make an outsized contribution can make well in excess of this range. Additional incentives are provided as part of the complete total rewards package in addition to comprehensive medical and other benefits.\n",
      "\n",
      "MORE ABOUT US\n",
      "• Sal’s TED talk from 2011\n",
      "• Sal’s TED talk from 2015\n",
      "• Sal's TED talk from 2023\n",
      "• Our team: http://www.khanacademy.org/about/the-team\n",
      "\n",
      "OUR COMPANY VALUES\n",
      "\n",
      "Live & breathe learners\n",
      "\n",
      "We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.\n",
      "\n",
      "Take a stand\n",
      "\n",
      "As a company, we have conviction in our aspirational point of view of how education will evolve. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.\n",
      "\n",
      "Embrace diverse perspectives\n",
      "\n",
      "We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.\n",
      "\n",
      "Work responsibly and sustainably\n",
      "\n",
      "We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable.\n",
      "\n",
      "Bring out the joy\n",
      "\n",
      "We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors.\n",
      "\n",
      "Cultivate learning mindset\n",
      "\n",
      "We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren’t afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals.\n",
      "\n",
      "Deliver wow\n",
      "\n",
      "We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on. We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners.\n",
      "\n",
      "We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply.\n",
      "-------------------------\n",
      "Generative AI Engineer, SeniorThe Opportunity:As an experienced engineer, you know that artificial intelligence (AI), particularly Generative AI and large language models (LLMs), has begun transforming the world, including every aspect of the way businesses are run. We need your technical knowledge and problem-solving abilities to identify and develop opportunities for the use of AI, ML, and LLMs to solve real-world business and operational problems that will help Booz Allen and its clients execute missions of national importance.In this role, you will architect and build new generative AI-based products and offerings and their integration into specific client missions, both within the enterprise business context and in operational use cases. You’ll collaborate with a community of research and experimentation leaders, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions. Your advanced solutioning skills and extensive technical expertise will help drive innovation that is applicable across multiple client domains.Join us. The world can't wait.You Have:5+ years of experience in software engineering, including leading teams to build customer-facing solutions and products1+ year of experience with integrating large language models, GPT models or multi-modal models with applications or user interfacesExperience working with relational and non-relational databasesExperience with standup of Cloud-based infrastructure and platform services, including AWS, Azure, or Google Cloud PlatformExperience with leading and working in a collaborative, cross-functional team environment consisting of security engineers, data scientists, machine learning engineers, and designersExperience with MLOps, including CI/CD, model training or testing, deployment or monitoringAbility to distill complex technical concepts into easily understood summaries consumable by business leaders with a non-technical backgroundAbility to obtain a security clearanceBachelor’s degreeNice If You Have:2+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing and LLM frameworksExperience working with federal clientsPossession of strong verbal and written communication skillsClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.Create Your Career:Grow With UsYour growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.A Place Where You BelongDiverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time.Support Your Well-BeingOur comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.Your Candidate JourneyAt Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.CompensationAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $93,300.00 to $212,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.EEO CommitmentWe’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.\n",
      "-------------------------\n",
      "We are looking for a senior simulation software engineer to help us develop the future of Artificial Intelligence (AI) and Machine Learning (ML) technologies. AI/ML Scientists and engineers at HRL use our simulation software environments every day for training, operation, understanding, and advancement our customer’s mission and needs. As a senior simulation software engineer on the AI Engineering team you will be responsible for simulation software used to automate ML training, improve agility, support robust solutions, enhance our UX/UIs, create impactful demonstrations, and progress our research and algorithm development efforts up the technology readiness level to support our owners and customer missions and product lines.\n",
      "\n",
      "Essential Duties:\n",
      "\n",
      "Run simulations, perform experiments, analyze and track results, create dashboard reports, dataset and model versioning, interactive data visualization, and ML model optimization.\n",
      "\n",
      "Curate, develop, and sustain a wide variety of AI visual, symbolic, and physics based models and simulation environments for use in Reinforcement Learning (RL) and customer mission scenarios.\n",
      "\n",
      "Required Skills:\n",
      "\n",
      "5+ years experience in two or more simulations environments and techniques: AFSIM, CARLA, MuJoCo, AirSIM, Applied Intuition, simulation at scale, scenario fuzzing, etc.\n",
      "\n",
      "Required Education:\n",
      "\n",
      "Master's degree in Computer Science or Software Engineering is preferred.\n",
      "\n",
      "Special Requirements:\n",
      "\n",
      "U.S. Citizenship.\n",
      "\n",
      "Active security clearance or ability to obtain one.\n",
      "\n",
      "HRL Laboratories focuses on Semiconductors, Automotive, Machine Learning, Nanotechnology, and Defense. Their company has offices in Malibu, Camarillo, Calabasas, and Ventura County. They have a large team that's between 501-1000 employees.\n",
      "\n",
      "You can view their website at https://www.hrl.com\n",
      "-------------------------\n",
      "Chief AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "If you want to partake in shaping Capital One's AI capabilities, we require a Lead Generative AI Infrastructure Engineer to join our team. This role will involve several interventions, such as instituting extensive, distributed training clusters, mounting Large-Language Models (LLMs) on GPU instances to be deployed in real-time operations, and rendering active support for advanced AI research and development. The optimal candidate must establish a close collaboration with cloud and container infrastructure teams, including AI researchers, to realize essential functionalities.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• For efficient large-scale computations, it is crucial to deploy distributed training clusters in the public cloud with an optimized storage and networking stack.\n",
      "• Incorporate strategies that allow distributed systems to perform long-running training experiments even in the presence of failures. One effective strategy is to use load-balancing schedulers with a check-pointing library to enable the resumption of the job at a precise point after a node failure.\n",
      "• The purpose is to establish a robust framework that supports efficient, scalable, and cost-effective delivery of LLMs and Foundation Models in cloud environments.\n",
      "• Design a flexible and customizable environment for implementing search indexes and embeddings in vector databases to address the unique needs of individual users.\n",
      "• Collaborate with AI researchers and cloud and container infrastructure groups to develop and execute essential functionalities.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical field degree such as Computer Science or Computer Engineering is required for a Bachelor's program.\n",
      "• It is essential to have at least six years of experience designing and constructing distributed computing solutions for handling high volumes of data.\n",
      "• A minimum of six years of coding experience using Python, Go, Scala, or Java is required.\n",
      "• This job opening requires applicants to have one year or more of experience with High-Performance Computing (HPC), vector embedding, or semantic search technologies.\n",
      "• One must possess at least a year's worth of experience in constructing, scaling, and refining training or inferencing systems for deep neural networks.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• The eligibility criteria for this position requires candidates to have completed a graduate degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or an equivalent subject.\n",
      "• Skilled in advanced machine learning techniques, with hands-on experience in deploying large-scale deep neural networks and transformer models in production systems.\n",
      "• Keeping up with the latest advancements in AI requires mastery of machine learning frameworks, including TensorFlow, PyTorch, Lightning, or Mosaic ML.\n",
      "• Agility to adapt and perform effectively in an ambivalent and rapidly changing environment with competing demands and due dates.\n",
      "• Individuals who have worked in technology-driven companies and startups are preferred candidates.\n",
      "• Knowledgeable in deploying intricate neural networks in challenging production environments.\n",
      "• A seasoned expert in the realm of creating GPU clusters in the public cloud, particularly in the area of closely-integrated storage and networking functions.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Reward systems that are based on performance and include monetary incentives, such as cash bonuses and long-term incentives, are known as performance-based incentive compensation.\n",
      "• Supporting the complete wellness of individuals, through a range of benefits covering health, finances, and more.\n",
      "• One of the benefits of working at Capital One is the variety of career paths available for employees, allowing for personal and professional growth.\n",
      "• Creating a supportive and inclusive work environment that enables individuals to grow personally and professionally.\n",
      "\n",
      "About Company:\n",
      "\n",
      "Capital One is committed to creating trustworthy and reliable AI systems that incorporate human input to revolutionize and evolve banking services. Our mission is to incorporate machine learning and AI technology to design automated and intelligent customer services in real-time. Partner with us and help shape the future of banking service delivery for businesses and individuals.\n",
      "-------------------------\n",
      "About Qventus:\n",
      "\n",
      "Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.\n",
      "\n",
      "About the Role:\n",
      "\n",
      "Are you ready to innovate at the intersection of healthcare and AI? We’re looking for a creative, self-starting, Innovation Engineer to develop new applications and products, powered by AI models, that enhance hospital operations and patient care. Join our innovation team, where your work will directly contribute to simplifying healthcare processes through automation and intelligent decision-making.\n",
      "\n",
      "As a Innovation Engineer, you will:\n",
      "• Lead the exploration and implementation of cutting-edge technologies, especially LLMs, to develop new product directions and applications. Your work will span across the stack from infrastructure to backend to frontend to product thinking.\n",
      "• Collaborate with CTO and cross-functional teams to help mature and integrate exploratory products and solutions into our existing platforms.\n",
      "• Quickly iterate and build prototypes to validate concepts and refine user-centric solutions\n",
      "• Stay abreast of the latest AI research to ensure our solutions remain at the forefront of technology.\n",
      "\n",
      "Key Responsibilities:\n",
      "• Ability to quickly build and iterate on product prototypes.\n",
      "• Understand our users to work through ambiguity and develop a personal sense of product direction.\n",
      "• Collaborate with data scientists, engineers and other team members to productionalize models and exploratory products.\n",
      "• Provide technical leadership in GenAI opportunities and best practices.\n",
      "• Stay updated with AI advances and explore new findings to improve existing products.\n",
      "\n",
      "What We're Looking For:\n",
      "• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.\n",
      "• Proven experience in developing new products and knowledge of generative AI models, such as GPT-3.5/GPT-4.\n",
      "• Strong programming skills in Python and experience with AI frameworks (e.g., LangChain, etc).\n",
      "• Excellent problem-solving abilities and a passion for innovation in healthcare.\n",
      "• Ability to work in a fast-paced, team-oriented environment.\n",
      "\n",
      "It's a Plus if You Have:\n",
      "• Experience putting products from the ground up, including some backend and frontend experience. Particularly Python applications.\n",
      "• Experience with healthcare data and understanding of healthcare workflows.\n",
      "• Publications or contributions to AI research.\n",
      "• Experience with cloud computing platforms (AWS, GCP, Azure).\n",
      "\n",
      "Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.\n",
      "\n",
      "The salary range for this role is $180,000 to $200,000. This salary represents the middle to the high end of market data across different geographies. We consider several factors when determining compensation, including location, experience, and the role’s responsibilities. Salary/OTE is just one component of Qventus’ total rewards package. Our benefits and perks currently include, but are not limited to:\n",
      "• Competitive medical, dental and vision coverage with a 90% employer paid premiums for employees option\n",
      "• Generous HSA contribution, when elected and participating in an eligible plan, up to $1,500 annual company contribution\n",
      "• Employer provided (100% paid) Short Term and Long Term Disability insurance and Basic Life and AD&D insurance\n",
      "• 100% paid Parental and Pregnancy Leave\n",
      "• Monthly Wellness and Technology stipend up to $50 per month\n",
      "• Ability to participate in the 401(k) plan\n",
      "• Generous Stock Option awards\n",
      "\n",
      "We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that’s why we’re building a company that leads the way. We hold ourselves accountable to using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal-opportunity employer and give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.\n",
      "\n",
      "Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/\n",
      "\n",
      "Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.\n",
      "-------------------------\n",
      "Company:\n",
      "Qualcomm Incorporated\n",
      "\n",
      "Job Area:\n",
      "Information Technology Group, Information Technology Group > IT Architect\n",
      "\n",
      "General Summary:\n",
      "\n",
      "As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. The IT AI Architect, Principal will be at the forefront of our AI strategy, designing and implementing advanced AI solutions to solve complex business challenges supporting multiple enterprise functions. This role involves a blend of technical expertise, leadership, and strategic planning, ensuring that our AI projects are executed successfully and align with our long-term objectives.\n",
      "\n",
      "Minimum Qualifications:\n",
      "• 8+ years of IT-specific work experience with a Bachelor's degree.\n",
      "OR\n",
      "10+ years of IT-specific work experience without a Bachelor’s degree.\n",
      "• Lead the design and implementation of scalable AI systems, ensuring they meet business requirements and are delivered on time and within budget.\n",
      "• Provide technical leadership and mentorship to AI team members, fostering an environment of continuous learning and innovation.\n",
      "• Hands-on rapid prototyping to develop proof of value\n",
      "• Collaborate and lead cross-functional teams, including data scientists, engineers and business leads to develop value creating AI solutions\n",
      "• Stay abreast of the latest AI research and technologies, evaluating and adopting them to maintain our competitive edge.\n",
      "• Develop and maintain an AI roadmap, aligning with the company's strategic goals and industry trends.\n",
      "• Ensure AI systems are designed with ethics, data privacy, and security best practices in mind.\n",
      "• Communicate complex AI concepts to non-technical stakeholders, facilitating informed decision-making across the organization.\n",
      "\n",
      "Ideal candidate will have:\n",
      "• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Software Engineering, Systems Engineering, or related work experience.\n",
      "• Minimum of 10 years of experience in AI/ML technologies, with at least 5 years in a leadership or architectural role.\n",
      "• Proven track record of designing and deploying scalable AI solutions in a production environment.\n",
      "• Deep understanding of AI/ML algorithms, data structures, and software engineering principles.\n",
      "• Expert with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and AI/ML frameworks (e.g., TensorFlow, PyTorch).\n",
      "• Strong leadership skills, with the ability to mentor and guide teams towards achieving their highest potential.\n",
      "• Excellent communication skills, with the ability to articulate technical concepts to a variety of audiences.\n",
      "• Ability to thrive in a fast-paced, dynamic environment, managing multiple projects simultaneously.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related field.\n",
      "• Experience building, fine tuning and deploying Large language models (LLMs), custom text embeddings, image generation, CNNs, Vision Transformers and multi-modal models.\n",
      "• Experience supporting semiconductor manufacturing and yield management\n",
      "• Cloud Certified – Azure/AWS/GCP\n",
      "• SAFe Agile Certified\n",
      "• Strong debugging and analysis skills, for root causing complex issues\n",
      "• Experience developing embedded software, preferably on-device ML\n",
      "• Experience working within large global matrix organizations\n",
      "\n",
      "Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.\n",
      "\n",
      "Qualcomm is an equal opportunity employer and supports workforce diversity.\n",
      "\n",
      "To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.\n",
      "\n",
      "EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.\n",
      "\n",
      "Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\n",
      "\n",
      "Pay range:\n",
      "$138,500.00 - $207,500.00\n",
      "\n",
      "The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer!\n",
      "\n",
      "If you would like more information about this role, please contact Qualcomm Careers.\n",
      "-------------------------\n",
      "Demand.io is a technology company based in Santa Monica, CA focused on building digital consumer shopping platforms and experiences that help consumers find and acquire the things they'll love.\n",
      "Founded in 2009, we're a self-funded, profitable company running multiple e-commerce consumer products at scale. Our success comes from our ability to innovate early, retain top talent through profit-sharing, and operate efficiently and decisively with an agile, lean startup ethos emphasizing profitability and sustainable, organic product growth.\n",
      "As the e-commerce industry shifts from screen-based paradigms to newer AI-enabled conversation-driven ones, we're committed to delivering the industry's best AI shopping assistant through Product.ai. Leveraging open source foundation language models connected to our industry-leading e-commerce knowledge graph through emerging retriever-enhanced approaches, Product.ai aims to minimize hallucinations even for the most detailed e-commerce queries to provide actionable, trustworthy shopping recommendations. We're currently in mid-development, having procured our own A100 GPU server last fall we've ramped up our ability to train, fine-tune, and evaluate our models at scale.\n",
      "Who we're looking for\n",
      "We're seeking no less than a unicorn engineering leader to lead our talented engineering team, rallying, guiding, and mentoring them towards delivery of Product.ai. You'll bring substantial AI engineering experience, a hands-on style to leadership, and clear track record of 0-1 product innovation delivery and success. We don't want a professional manager, we want an engineer / architect who manages because it is incumbent upon them to do so. We're a flat team of super-ICs, operating with minimal structure and hierarchy, emphasizing empowerment, decentralized decision making, and bias towards action from junior staff on up.\n",
      "For the right leader, we offer a unique and compelling place to call home. As a smaller, self-funded and profitable company, while we don't throw 8-figure budgets at every problem, we do have the runway and margin to invest aggressively towards solving hard problems. Our core e-commerce business funds our development, enabling adequate customer focus and time to iterate, ensuring we're not forced to take shortcuts and we're delivering uncompromising product experiences that deliver real, long-term value to our customers.\n",
      "What you'll do\n",
      "• Build and lead a high-performance global engineering team. Build a culture of innovation, collaboration, accountability, and excellence.\n",
      "• Drive the end-to-end product development lifecycle, ensuring timely delivery of high quality, performant software.\n",
      "• Drive the development and training of proprietary language models, AI pipelines, and related technologies.\n",
      "• Drive the development and technology roadmap and our core AI commerce data platform, aligning to business objectives and content quality requirements, and serving the demanding needs of our network of user-facing products.\n",
      "• Lead initiatives to build and maintain an advanced LLMOps pipeline, ensuring the seamless and efficient operation of our AI models, and keeping our technologies at the forefront of the industry.\n",
      "• Direct the development and refinement of Retriever-Augmented Generation (RAG) systems, combining neural network-based language models with sophisticated information retrieval techniques\n",
      "• Develop and execute a strategic roadmap for scaling our technology infrastructure and engineering capabilities aligned with the company's goals.\n",
      "• Collaborate closely with internal teams including product management, product design, UXR, marketing, and revenue, to define and prioritize engineering roadmaps and initiatives.\n",
      "• Facilitate engineering team in designing and building robust tech architecture stack to support scalable and efficient software development.\n",
      "• Create and supervise API lifecycle strategies, including design, development, and maintenance of API endpoints.\n",
      "• Provide world class technical guidance and mentorship across the engineering team, establishing a culture of continuous learning and professional development.\n",
      "• Stay up-to-date with industry trends, emerging technologies, and best practices in engineering, machine learning, and AI.\n",
      "\n",
      "About you\n",
      "• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with 10+ years experience in software development, including 5+ years in a leadership role.\n",
      "• 0-1 engineering leadership. Demonstrated experience leading and scaling agile engineering teams and operations at an early-stage company, with a track record of fostering innovation and engineering excellence.\n",
      "• Proficient in AI and ML techniques such as Convolutional and Recurrent Neural Networks (TensorFlow, PyTorch), Large Language Models (OpenAI, LLaMA), and Retrieval-Augmented Generation (RAG). Demonstrated ability to select the appropriate supervised or unsupervised learning strategy for a given problem, incorporating advanced techniques like RAG for enhancing model capabilities and data retrieval efficiency.\n",
      "• In-depth experience with advanced database technologies including vector databases, knowledge graphs, and graph databases, as well as proficiency in both relational and NoSQL databases. Demonstrated ability in evaluating and selecting the most suitable database architecture for various applications, balancing factors like scalability, performance, and data complexity.\n",
      "• Comprehensive knowledge in software engineering, including expertise in API design, object-oriented programming (OOP), and functional programming. Proficient in languages such as TypeScript and Python, with a strong ability to apply these skills across various software development paradigms.\n",
      "• Experience in architecting, developing, optimizing, and deploying software for scalable, distributed systems and ML technologies, incorporating DevOps best practices. Strong understanding of cloud platforms like Google Cloud Platform (GCP) and Amazon Web Services (AWS), ensuring efficient deployment and operations.\n",
      "• Familiarity with NestJS and blockchain technologies including Ethereum, Solidity, and smart contracts is a plus, but not required.\n",
      "• Excellent communication and interpersonal skills, with a strategic mindset to translate business objectives into technical strategies, engineering roadmaps, and actionable plans.\n",
      "\n",
      "About the job\n",
      "• Starting total cash compensation: $375K - $600K DOE.\n",
      "• Stock options: 1.0% to 2.5% initial grant.\n",
      "• Eligibility for our Equity Partners program, a profit-sharing system tied to individual and company performance.\n",
      "• Our Santa Monica HQ is a newly completed state-of-the-art technology development facility offering prodigious open space, open work setup, large recreation & break room with free food, silence / focus facilities, podcasting studio, and sweeping views from the ocean to downtown.\n",
      "• Full access to premium AI services, including ChatGPT Plus, Gemini Advanced, Perplexity Pro, GitHub Copilot, Midjourney Pro, Anthropic Claude, Notion, and more.\n",
      "• Full coverage of your home internet and mobile phone plans (Equity Partners program benefit).\n",
      "• All meals provided free daily, fully stocked kitchen with free food, snacks, coffee and drinks.\n",
      "• Regular team-building events, dinners and activities.\n",
      "• Premium health coverage including comprehensive PPO and HMO options, along with full dental and vision coverage, paid 100% for all your dependents.\n",
      "• Sponsorship for all ongoing education, courses, books and certifications.\n",
      "• 401K program.\n",
      "• Empowered, flexible, high trust work culture. Unlimited PTO.\n",
      "• Relocation assistance available.\n",
      "• H1B sponsorship available.\n",
      "\n",
      "Learn more about us at https://demand.io.\n",
      "-------------------------\n",
      "Role: Generative AI Engineer\n",
      "\n",
      "Compensation: $135,000-$165,000\n",
      "\n",
      "Location: Denver Metro Area\n",
      "• Please note: this role is not eligiblefor 100% remote work. Employees must live within a commutable distance of the Denver Metro Area. *\n",
      "\n",
      "Who You'll Work With\n",
      "\n",
      "As a modern technology company, we've never met a technical challenge we didn't like. At Slalom, we enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.\n",
      "\n",
      "Please note this position is located\n",
      "\n",
      "What You'll Do\n",
      "• Design and deliver cutting-edge AI systems to solve some of our clients' most challenging business problems\n",
      "• Deliver production-grade, mature AI/ML solutions for our clients at scale, built with automated, repeatable processes\n",
      "• Take ownership of and drive key architecture decisions around the AI/ML lifecycle (build, test, deploy, and monitor)\n",
      "• Utilize best-of-breed practices, tools, and cloud solutions\n",
      "What You'll Bring\n",
      "• BA/BS degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field (MS or PhD a plus!)\n",
      "• Experience using large language models, Langchain, vector databases, and cloud AI services to architect AI solutions (AWS SageMaker, GCP AI Platform, Azure ML)\n",
      "• Expertise in prompt engineering, agentic frameworks, and retrieval augmented generation\n",
      "• A creative approach to problem-solving using the latest AI technology\n",
      "• Relevant work experience in software development using Python\n",
      "• 4+ years of professional experience with cloud technologies (AWS, GCP, Azure)\n",
      "• Experience with open-source modeling frameworks (ex. TensorFlow, Keras, PyTorch, Scikit-learn)\n",
      "• Experience collaborating with cross-functional teams including data engineers and data scientists to deliver end-to-end solutions\n",
      "• Experience in production model management\n",
      "• Knowledge of automated testing and monitoring solutions\n",
      "• Contributions to open-source projects\n",
      "• A true passion for AI\n",
      "About Us\n",
      "\n",
      "Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 13,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com.\n",
      "\n",
      "Compensation and Benefits\n",
      "\n",
      "Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer a yearly $350 reimbursement account for any well-being-related expenses as well as discounted home, auto, and pet insurance.\n",
      "\n",
      "Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is $135,000-$165,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.\n",
      "\n",
      "EEO and Accommodations\n",
      "\n",
      "Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.\n",
      "\n",
      "We will accept applications on an ongoing basis until a candidate is selected for the position.\n",
      "\n",
      "#LI-MS2\n",
      "-------------------------\n",
      "University Administration\n",
      "\n",
      "65177BR\n",
      "\n",
      "Job Summary\n",
      "\n",
      "The Kempner Institute for the Study of Natural and Artificial Intelligence, a new non-profit research institute at Harvard University, is a dynamic and diverse community of students, scientists, and engineers dedicated to unraveling the basis of intelligence in both natural and artificial contexts and leveraging these findings to develop groundbreaking technologies. To support this growing community of scientists and students, the Kempner Institute is establishing one of the largest academic GPU-optimized computing infrastructures in the world. Additionally, the institute is hiring senior engineers with deep experience in optimizing algorithms and workloads for GPUs to facilitate cutting-edge research.\n",
      "\n",
      "We are hiring a Senior AI/ML GPU Computing Engineer with a proven record of technical leadership and solid engineering skills to enhance our engineering team at the Kempner Institute. The Senior AI/ML GPU Computing Engineer will play a critical role in assisting researchers by optimizing their deep learning and AI algorithms for GPUs, implementing software engineering best practices, and managing GPU resources. They will also be responsible for disseminating code on open science platforms as open-source software, building distributed GPU computing infrastructure, and supporting research with high-performance GPU solutions. The selected candidate will utilize their expertise to tackle complex challenges in scalable GPU computing environments and provide essential training and guidance in these domains.\n",
      "\n",
      "This position operates within a team of senior engineers and reports to the Director of Engineering. The ideal candidate will demonstrate a passion for pushing the boundaries of scalable GPU computing solutions for AI/ML and an enthusiasm to contribute to a collaborative and innovative environment. Harvard University encourages candidates with diverse backgrounds and fresh perspectives to join the Kempner Institute.\n",
      "Position Description\n",
      "Summary\n",
      "\n",
      "Design, plan, and implement software and data services that support and enrich research productivity and reliability. Develop software and data services with researchers to ensure that modern standards of reproducible research are kept.\n",
      "Core Duties\n",
      "• Advise researchers in the design, planning, and implementation of software or data analysis that enriches research productivity and reliability\n",
      "• Build deep understanding of specific research activities through regular engagements\n",
      "• Develop a scope of work and timely project plan with regular milestones\n",
      "• Build and maintain software code and custom data processing pipelines for complex environments\n",
      "• Apply firm understanding of numerical methods or data analysis to develop custom solutions to meet researchers' needs\n",
      "• Work in a team of developers and researchers in collaboration with systems professionals\n",
      "• Provide regular communications to stakeholders with project updates\n",
      "• Build internal code design and development guides for future contributors\n",
      "• Build advanced curriculum and teach workshops for researchers on sustainable software and data management practices that preserve the reproducibility of their research domain\n",
      "• Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct\n",
      "Basic Qualifications\n",
      "\n",
      "Minimum of seven years' post-secondary education or relevant work experience (can be a combination of education and work experience).\n",
      "Additional Qualifications and Skills\n",
      "• Deep expertise in GPU hardware, architecture, and performance optimization.\n",
      "• Mastery of Nvidia GPUs, software stacks (CUDA, cuDNN, TensorRT, NCCL), and HPC technologies.\n",
      "• Advanced proficiency in GPU profiling and debugging tools such as Nsight and nvprof.\n",
      "• In-depth knowledge of memory hierarchies, parallel programming, and optimization techniques relevant to GPUs.\n",
      "• Solid experience in optimizing and scaling deep learning applications in production environments, especially on GPUs.\n",
      "• Proficiency in deep learning frameworks like PyTorch, TensorFlow, Keras, optimized for GPU execution.\n",
      "• Ability to transform research ideas into practical software implementations optimized for GPUs.\n",
      "• Comprehensive understanding and hands-on experience with deep learning algorithms and applications.\n",
      "• Proficiency in big data frameworks (Spark, Hadoop) emphasizing GPU acceleration.\n",
      "• Skilled in container technologies (Docker, Singularity) and orchestration (Kubernetes) optimized for GPU workflows.\n",
      "• Proficiency in implementing software engineering best practices such as code reviews, version control, documentation, and agile methodologies.\n",
      "• Knowledge of project management and CI/CD tools (Asana, Jira, GitHub, GitLab, Jenkins).\n",
      "• Experience with data warehousing tools (Snowflake, SQL Server, Google BigQuery) is a plus.\n",
      "• Strong communication skills, capable of simplifying complex tech concepts.\n",
      "• Excellent team player with a service mindset, able to guide researchers on GPU-related queries.\n",
      "• Detail-oriented, with strong problem-solving skills to support GPU optimizations and troubleshooting.\n",
      "• Quick learner, consistently updated on the latest GPU and HPC technologies.\n",
      "• Strong project management and organizational skills.\n",
      "• Demonstrated success in collaborating within a cross-functional team in an agile environment.\n",
      "Additional Information\n",
      "• This is a full-time position based in MA, with a hybrid schedule (combination of in-person / remote). Harvard University supports a hybrid workplace model which will actively support some remote work. Specific days and schedules for on-site work and remote work will be discussed during the interview process. Please note hybrid workers must reside in a state where Harvard is registered to do business (CA, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT, and WA).\n",
      "• Work is performed in an office setting primarily in Allston, MA.\n",
      "• We are unable to provide visa sponsorships for these positions.\n",
      "• This position has a 180 day orientation and review period.\n",
      "• During the interview process, candidates will be notified of any additional exercises or presentations that may be required for this position.\n",
      "\n",
      "The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up to date on CDC-recommended vaccines.\n",
      "Work Format Details\n",
      "This is a hybrid position that is based in Allston, Massachusetts. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.\n",
      "\n",
      "Benefits\n",
      "We invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include:\n",
      "• Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.\n",
      "• Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.\n",
      "• Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.\n",
      "• Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.\n",
      "• Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.\n",
      "• Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.\n",
      "• Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.\n",
      "• Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.\n",
      "• Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.\n",
      "Job Function\n",
      "General Administration\n",
      "\n",
      "Department Office Location\n",
      "USA - MA - Allston\n",
      "\n",
      "Job Code\n",
      "360090 Admin Offcr/SrIndiv Contrib\n",
      "\n",
      "Work Format\n",
      "Hybrid (partially on-site, partially remote)\n",
      "\n",
      "Sub-Unit\n",
      "Interfaculty Initiatives\n",
      "\n",
      "Salary Grade\n",
      "090\n",
      "\n",
      "Department\n",
      "Kempner Institute\n",
      "\n",
      "Union\n",
      "00 - Non Union, Exempt or Temporary\n",
      "\n",
      "Time Status\n",
      "Full-time\n",
      "\n",
      "Pre-Employment Screening\n",
      "Education, Identity\n",
      "\n",
      "Schedule\n",
      "Full time. Monday through Friday. 35 hours per week.\n",
      "\n",
      "Commitment to Equity, Diversity, Inclusion, and Belonging\n",
      "Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.\n",
      "\n",
      "EEO Statement\n",
      "We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.\n",
      "\n",
      "LinkedIn Recruiter Tag (for internal use only)\n",
      "#LI-EP1\n",
      "-------------------------\n",
      "Introduction to Shield AI\n",
      "\n",
      "Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies.\n",
      "\n",
      "The Hivemind Edge team is responsible for developing the core AI and Autonomy capabilities for our AI pilot product. As an Autonomy Integration Engineer, you will be working across the Hivemind Edge team to integrate and test autonomy components to release the Shield AI reference pilot for our internal and external customers.\n",
      "\n",
      "What You'll Do:\n",
      "• Integrate autonomy software on hardware and simulated platforms\n",
      "• Develop, mature, and test software for autonomous systems\n",
      "• Work with product component teams to ensure interfaces are implemented and meeting specifications\n",
      "• Drive high-quality software releases at a regular cadence to service customer needs\n",
      "• Seek out system gaps and implement solutions to fill them\n",
      "• Contribute to the documentation of the systems\n",
      "• Create integration tests within our testing frameworks\n",
      "• Help drive improvements in testing frameworks\n",
      "• Resolve challenges and optimize software architecture at all levels of the stack from kernel to third party and internal libraries\n",
      "\n",
      "Required Qualifications:\n",
      "• BS in Computer Science, Robotics, Aerospace Engineering or equivalent degree\n",
      "• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.\n",
      "• Proficient in ROS or related robotics frameworks\n",
      "• Experience with integration of software and hardware for commercial products\n",
      "• Strong software skills in C++ and python\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Experience with NVIDIA Jetson or similar edge AI platforms\n",
      "• Experience in the self-driving car, UAV or other related industry\n",
      "• Experience shipping production quality code for commercial robotics applications\n",
      "• Experience with AWS, Azure\n",
      "• Experience with Docker or other containerization tools\n",
      "\n",
      "$154,460 - $231,690 a year\n",
      "#LC\n",
      "#LI-OE1\n",
      "\n",
      "Total package details:\n",
      "\n",
      "Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity\n",
      "\n",
      "Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days of employment)\n",
      "• Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity\n",
      "\n",
      "Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background check.\n",
      "\n",
      "If you're interested in being part of our team, apply now!\n",
      "\n",
      "Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.\n",
      "-------------------------\n",
      "• Develop Learning based planning algorithms for trajectories (deep learning, reinforcement learning, decision trees, etc) to ensuring that the vehicle behavior is natural, safe and smooth\n",
      "• Design policies and plans to manage multi-actor interactions and plans under uncertainty\n",
      "• Work with other internal autonomy teams to help to continuously improve and refine the self-driving system\n",
      "• Master or Ph.D. degree in Computer Science, Electric Engineering or a related field\n",
      "• Experience solving problems using Machine Learning with Tensorflow or equivalent tools\n",
      "• Professional C++ experience designing any-angle robotic navigation algorithms such as Dijkstra, A*, D*, RRT, RRT* and RRG\n",
      "• Experience in at least one of: robotics research in motion planning, trajectory optimization, planning under uncertainty, probabilistic robotics, data analysis at scale, machine learning at scale\n",
      "• Publications in top conferences/journals in a related field or equivalent experiences is a plus\n",
      "-------------------------\n",
      "Job Title: AI Engineer\n",
      "\n",
      "Position Overview: We are seeking a talented AI Engineer to join our team, with a primary focus on developing RAG (Retrieval-Augmented Generation) functionality. The main responsibilities of this role revolve around the development of RAG functionality, which involves the upload and processing of documents to make them readable by AI models. This functionality enables admins to upload documents to the bots, allowing users to chat with the documents through the bot interface.\n",
      "\n",
      "Responsibilities:\n",
      "\n",
      "· Develop RAG functionality, including document upload and processing for readability by AI models\n",
      "\n",
      "· Collaborate with the team to ensure seamless integration of document processing with the bot interface\n",
      "\n",
      "· Enable temporary client-side uploading of documents for users to chat with their documents within a conversation context\n",
      "\n",
      "· Design the flow of document processing to ensure scalability\n",
      "\n",
      "· Conduct full stack development, including front-end and back-end development\n",
      "\n",
      "· Perform infrastructure testing with services such as Chroma DB and AWS S3\n",
      "\n",
      "Requirements:\n",
      "\n",
      "· Minimum of 2-5 years of experience in software development\n",
      "\n",
      "· Strong experience in full stack development\n",
      "\n",
      "· Proficiency in Python\n",
      "\n",
      "· Experience with infrastructure testing using services such as Chroma DB and AWS S3\n",
      "\n",
      "· Ability to design scalable processes and systems\n",
      "\n",
      "· Excellent problem-solving skills\n",
      "\n",
      "· Strong communication and teamwork abilities\n",
      "\n",
      "· Excellent problem-solving skills, attention to detail, and a commitment to code quality\n",
      "\n",
      "· Strong communication, leadership, and mentorship abilities\n",
      "\n",
      "Preferred Qualifications:\n",
      "\n",
      "· Bachelor's degree in Computer Science, Engineering, or related field\n",
      "\n",
      "· Experience with AI models and natural language processing\n",
      "\n",
      "· Familiarity with chatbot development\n",
      "\n",
      "Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.\n",
      "\n",
      "Physical Demands:\n",
      "\n",
      "While performing the duties of this job, the employee is regularly required to sit. The employee frequently is required to walk; use hands to finger, handle or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand. The employee may lift or move objects up to 5 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, and ability to adjust focus.\n",
      "\n",
      "MicroHealth will recruit, hire, train, and promote persons in all job titles, and ensure that all other personnel actions are administered without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, disability, or status as a protected veteran and ensure that all employment decisions are based only on valid job requirements.\n",
      "\n",
      "All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n",
      "\n",
      "If you need a reasonable accommodation due to a disability for any part of the employment process, please send an e-mail to hr@microhealthllc.com with your request and contact information.\n",
      "\n",
      "Company DescriptionAt MicroHealth, we help agencies solve their most pressing IT needs. We specialize in supporting federal partners within the ever-changing federal health IT landscape. For example, we help the Army provide medical simulation training to recreate battlefield environments and improve battlefield care. Additionally, we help make it easier for healthcare providers at the Department of Defense and Veterans Affairs to search through electronic data to make faster, more informed patient care decisions.\n",
      "\n",
      "That’s where you come in. We’re looking for energetic and creative problem-solvers who are ready to roll up their sleeves and work together to make a difference in federal health IT. We balance heads-down work with taking time to get to know our colleagues and having fun along the way. Our employees agree and have repeatedly named us a Top Workplace.\n",
      "\n",
      "Learn more at www.microhealthllc.com.\n",
      "\n",
      "MicroHealth is a Service-Disabled Veteran Owned Business (SDVOSB) and Small Business Administration (8a) firm.\n",
      "-------------------------\n",
      "At Capgemini, we are looking for an innovative, results-driven individual to join our team as a Software Engineer - Generative AI Engineer. You will be responsible for developing practical applications of Generative AI technologies, with an emphasis on developing solutions that are both creative and highly effective. This position requires a comprehensive understanding of software engineering principles, experience with Machine Learning (ML) and Artificial Intelligence (AI) technologies, and the ability to collaborate with colleagues from different disciplines.To be successful in this role, you must have a strong background in software engineering, including experience with scripting languages, as well as a deep understanding of ML and AI technologies. You should also be able to demonstrate your knowledge of mathematical and statistical techniques, as well as your ability to write algorithm specifications and to generate high-quality code.We are looking for someone with a passion for learning and the ability to think outside the box. If you are an individual who thrives in a collaborative and dynamic environment, and you have the right qualifications and experience, we would love to hear from you.\n",
      "\n",
      "Responsibilities:\n",
      "\n",
      "Design and implement software solutions based on generative AI technologies\n",
      "Develop algorithmic specifications and code to create applications\n",
      "Test and debug software to ensure quality and reliability\n",
      "Collaborate with colleagues from different disciplines to create effective solutions\n",
      "Utilize scripting languages to build software\n",
      "Understand mathematical and statistical techniques to apply to software\n",
      "Research and stay abreast of the latest developments in AI and ML technologies\n",
      "Identify and troubleshoot software issues and provide solutions\n",
      "Manage projects within agreed-upon timelines and budget\n",
      "Follow best practices for software engineering and coding standards\n",
      "\n",
      "Capgemini is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.\n",
      "-------------------------\n",
      "AI Engineer\n",
      "\n",
      "Key Role:\n",
      "\n",
      "Design and implement effective artificial intelligence (AI) solution architecture utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the company's strategies and business goals. Apply advanced consulting or extensive technical expertise and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and supervise team members, as needed.\n",
      "\n",
      "Basic Qualifications:\n",
      "\n",
      "2+ years of experience with artificial intelligence, data science, machine learning engineering, data or software engineering research, or data analytics, including in a professional or academic environment\n",
      "\n",
      "Experience with software and artificial intelligence projects\n",
      "\n",
      "Experience with a programming language, including Python, Scala, or Java\n",
      "\n",
      "Knowledge of methodologies for deep learning, computer vision, NLP, or signal processing machine learning development\n",
      "\n",
      "Knowledge of modern software design patterns, including microservice design or edge computing\n",
      "\n",
      "Ability to obtain a security clearance\n",
      "\n",
      "Bachelor's degree\n",
      "\n",
      "Please include CV mandatory\n",
      "\n",
      "Additional Qualifications:\n",
      "\n",
      "Experience with Open AI and Llama is must\n",
      "\n",
      "Experience with embedded systems programming in C, C++, or Rust\n",
      "\n",
      "Experience with GPU programming, including CUDA or RAPIDs\n",
      "\n",
      "Experience with modern Cloud computing technologies, including Docker\n",
      "\n",
      "Ability to gather requirements from customers and lead Agile teams\n",
      "\n",
      "Doctorate degree in Computer Science or Statistics\n",
      "-------------------------\n",
      "Rocktop Technologies is an asset advisory services company that leverages its proprietary technical platform to simplify investment decisions, align interests, and manage risk. Creating innovative solutions enables our partners to achieve outsized returns in structured assets. We are currently seeking a Staff Accountant based in our Irving, Texas location.\n",
      "\n",
      "We are looking for a seasoned Senior Python Developer with a strong background in MLOps and AI systems to maintain and enhance our newly established MLOps platform, SQL Query Agent, and Oracle Chatbot. The ideal candidate will have extensive experience in Python programming, machine learning operations, and AI model development and deployment.\n",
      "\n",
      "Key Responsibilities:\n",
      "• Oversee the maintenance and iterative improvement of the SQL Query Agent and Oracle Chatbot, including debugging, updating, and optimizing the codebase.\n",
      "• Use prompt engineering to improve the performance of LLMs.\n",
      "• Monitor system performance, respond to incidents, and implement fixes and enhancements.\n",
      "• Maintain and enhance the MLOps platform (Azure) to ensure its reliability, scalability, and efficiency.\n",
      "• Manage the integration of AI models into the MLOps platform, ensuring seamless model versioning, deployment, and monitoring.\n",
      "• Develop and maintain Docker container images for the applications, ensuring they are optimized for deployment.\n",
      "• Participate in User Acceptance Testing (UAT) to collect feedback and refine the applications according to user needs.\n",
      "• Provide training and support to internal teams on the effective use and administration of the MLOps platform, SQL Query Agent, and Oracle Chatbot.\n",
      "• Ensure compliance with information security standards.\n",
      "• Document all maintenance activities and updates in a clear and comprehensive manner.\n",
      "\n",
      "Required Skills and Qualifications:\n",
      "• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.\n",
      "• At least 5 years of professional experience in Python development, with a focus on AI and machine learning applications.\n",
      "• Solid understanding of MLOps principles and experience with MLOps tools and platforms.\n",
      "• Experience with LLM frameworks (e.g. OpenAI Python library, Langchain)\n",
      "• Proficiency in SQL and experience with database management.\n",
      "• Strong experience with Docker and container orchestration tools.\n",
      "• Familiarity with CI/CD pipelines and version control systems, such as Git.\n",
      "• Experience with Azure\n",
      "• Excellent problem-solving abilities and attention to detail.\n",
      "• Strong communication skills and the ability to work collaboratively with cross-functional teams.\n",
      "\n",
      "Job Type: Full-time\n",
      "\n",
      "Pay: $150,000.00 - $160,000.00 per year\n",
      "\n",
      "Benefits:\n",
      "• 401(k)\n",
      "• 401(k) matching\n",
      "• Dental insurance\n",
      "• Employee assistance program\n",
      "• Health insurance\n",
      "• Life insurance\n",
      "• Vision insurance\n",
      "\n",
      "Work Location: In person\n",
      "-------------------------\n",
      "AI\n",
      "-------------------------\n",
      "Aderant is seeking an AI Engineer.\n",
      "\n",
      "Aderant is a global industry leading software company providing comprehensive business management solutions for law firms and other professional services organizations with a mission to help them run a better business. We are motivated by a collective desire to drive the legal industry to the forefront of innovation. With over 2,500 clients around the world, including 95 of the top AmLaw 100 firms, we are changing the outside perception of the legal sphere; where there was once resistance to modernization, we are creating a culture that embraces new ideas and technology.\n",
      "\n",
      "At Aderant, the “A” is more than just a letter. It is a representation of how we fulfill our foundational purpose, serving our clients. It embodies our core values and reminds us that to achieve success, every day must start with the “A”. We bring the “A” to life by fostering a culture of innovation, collaboration, and personal growth. We encourage our diverse teams to bring their whole selves to work – ideas, experience, and passion – to drive our mission forward. Our people are our strength.\n",
      "\n",
      "Role Description:\n",
      "\n",
      "We are looking for an AI Engineer to join our team and help us develop and deploy innovative AI solutions for various business problems. You will work with senior AI engineers, data scientists, and software developers to design, implement, and test AI models and applications using state-of-the-art tools and frameworks.\n",
      "\n",
      "Responsibilities:\n",
      "• Design, develop, and deploy AI models and pipelines for various use cases, such as computer vision, natural language processing, recommender systems, etc.\n",
      "• Perform data analysis, preprocessing, and feature engineering to prepare data for AI modeling\n",
      "• Apply best practices and standards for AI development, such as code quality, documentation, testing, and version control\n",
      "• Research and evaluate new AI techniques and frameworks to improve the performance and efficiency of existing solutions\n",
      "• Collaborate with cross-functional teams and stakeholders to understand the business requirements and deliver AI solutions that meet or exceed expectations\n",
      "• Mentor and guide junior AI engineers and data scientists\n",
      "• Develop and deploy high quality inferencing services\n",
      "• Create applications capable of consuming inferencing services as reference for consuming applications\n",
      "\n",
      "Qualifications:\n",
      "• 2+ years of experience in AI, machine learning, deep learning, or data science\n",
      "• Proficiency in Python and common AI libraries, such as TensorFlow, PyTorch, Scikit-learn, LangChain, etc.\n",
      "• Familiarity with cloud platforms and services, such as AWS, Azure, or Google Cloud\n",
      "• Ability to work independently and as part of a team\n",
      "• Strong communication and problem-solving skills\n",
      "\n",
      "Additional skills:\n",
      "• Experience or knowledge in using Jupyter Notebooks, either in VS Code or Azure ML Studio\n",
      "• Experience or knowledge in using Pandas for data manipulation and analysis\n",
      "• Experience or knowledge in using Git for version control and collaboration\n",
      "• Experience or knowledge in using Huggingface Transformers for various natural language processing tasks, such as text generation, classification, tokenization, etc.\n",
      "-------------------------\n",
      "Senior Generative AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "This position is for a Lead Engineer in Generative AI Product Engineering at Capital One. The successful candidate will be in charge of developing and maintaining APIs and SDKs that are used to train, fine-tune, and access AI models on a larger scale. The candidate will work alongside a team of ingenious AI engineers and researchers that aim to develop and execute key API products and services necessary for speedy solutions in customer-facing applications.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Create, build, and release necessary APIs and software development kits that enable users to utilize Large-Language Models (LLMs) and unique Foundation Models (FMs) for tasks such as training, fine-tuning, and prompting.\n",
      "• Real-time APIs can benefit from the use of websockets, which enable bi-directional communication between clients and servers in real time.\n",
      "• Leverage the power of LLMs and FMs to create interfaces that are tailored to the unique requirements of different applications, ultimately enhancing the customer experience.\n",
      "• Allow users to develop advanced Generative AI capabilities.\n",
      "• Developing efficient monitoring systems to keep track of the API usage metrics and the operational state can contribute to successful management of operations.\n",
      "• Employ AI safety measures to address risks and prevent unwanted outcomes in the API layer.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A bachelor’s degree in Computer Science, Computer Engineering, or a related technical field is an essential requirement to apply for this position.\n",
      "• The role calls for a record of at least 6 years in creating and building data-intensive solutions utilizing distributed computing and cache optimization approaches.\n",
      "• Knowledge of Python, Scala, Java, or Go programming with at least 6 years of experience is an imperative factor for the ideal candidate.\n",
      "• To be considered for this role, the applicant must have a proven track record of creating, scaling, and optimizing training or inferencing systems for deep neural networks for one year or more.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Candidates must have vast knowledge of building and scaling NLP, speech, computer vision, or recommendation systems designed for massive audiences served by AI products or platforms.\n",
      "• Being able to perform well in a fast-moving workplace with multiple priorities and unclear outcomes by remaining calm and focused.\n",
      "• Experience in tech and innovation-centered firms is preferred by employers.\n",
      "• Acquaintance with strategically implementing and deploying massive neural network models in demanding production environments.\n",
      "• Knowledge of cloud computing providers and cloud architecture such as AWS, Google Cloud, and Azure, and the cloud security and resilience techniques to ensure the security of the cloud architecture and network infrastructure.\n",
      "\n",
      "Benefits of the Position:\n",
      "• Employees who receive a performance-based incentive compensation package, which includes financial bonuses and other non-monetary benefits, are more likely to be motivated to perform their duties efficiently and effectively.\n",
      "• A complete benefits package that aims to support employees' physical, emotional, and financial wellness.\n",
      "• The company fosters a supportive environment that is conducive to professional growth and development.\n",
      "• Cultivate growth both in work and personal areas in a supportive and inclusive workplace environment.\n",
      "\n",
      "About Company:\n",
      "\n",
      "By leveraging paradigm-shifting AI technologies and effective machine learning algorithms, we're revolutionizing the banking industry for the betterment of our customers.\n",
      "-------------------------\n",
      "Focused on labor and employment law since 1958, Jackson Lewis P.C.'s 950+ attorneys located in major cities nationwide consistently identify and respond to new ways workplace law intersects business. We help employers develop proactive strategies, strong policies and business-oriented solutions to cultivate high-functioning workforces that are engaged, stable and diverse, and share our clients' goals to emphasize inclusivity and respect for the contribution of every employee.\n",
      "\n",
      "The Firm is ranked in the First Tier nationally in the category of Labor and Employment Litigation, as well as in both Employment Law and Labor Law on behalf of Management, in the U.S. News - Best Lawyers® \"Best Law Firms\".\n",
      "\n",
      "The AI Engineer is an important role within the Innovation team, elevating our commitment to exceptional client service and internal operational excellence. The ideal candidate will work closely with the firm's AI Working Group and other stakeholders across the firm, playing a pivotal role in designing, developing, and implementing AI solutions. This position focuses on both Generative AI and non-Generative AI technologies, using Microsoft Azure OpenAI Service and other advanced tools. This position reports to the Director of Innovation and Knowledge Management Firm Solutions.\n",
      "\n",
      "Primary Responsibilities:\n",
      "\n",
      "Identify and Develop AI Use Cases: Work closely with stakeholders to identify and develop AI use cases relevant to the firm's practice.\n",
      "\n",
      "Evaluate AI Applications: Evaluate potential AI applications for feasibility and impact on both legal and business services processes and outcomes and make appropriate recommendations.\n",
      "\n",
      "Assist with Infrastructure and Data Strategy Alignment: Work with the firm's IT and Data Services teams to help ensure the appropriate technical infrastructure is in place to support a wide variety of AI projects and initiatives (both generative and non-generative) and that the firm's data strategy aligns with its AI goals.\n",
      "\n",
      "Design, Develop, and Implement AI Solutions: Following an agile approach and leveraging Microsoft Azure OpenAI Service and a variety of other AI technologies, design, develop, and implement custom AI systems and applications to enhance service delivery, and assist with the implementation of \"off-the-shelf\" AI solutions.\n",
      "\n",
      "Adhere to Responsible and Ethical AI Principles: Ensure all AI applications comply with ethical standards and regulations.\n",
      "\n",
      "Serve as an AI Subject Matter Expert and Advocate: Stay abreast of emerging trends and technologies, particularly those applicable to the legal industry, and provide technical insights and recommendations to improve AI adoption and integration within the firm.\n",
      "\n",
      "Project Management: Oversee AI project activities, employing effective project management techniques and tools. Ensure timely and successful execution of initiatives.\n",
      "\n",
      "Metrics and Reporting: Develop and track key metrics. Provide regular reports on the effectiveness of AI initiatives and propose data-driven recommendations for continuous improvement.\n",
      "\n",
      "Requirements:\n",
      "\n",
      "Experience: Minimum of 3 years of experience in AI technology development and implementation with demonstrated experience in Generative AI.\n",
      "\n",
      "Education: Bachelor's degree in Computer Science, AI, Machine Learning, Data Science, or related field.\n",
      "\n",
      "Skills:\n",
      "• Strong analytical and problem-solving abilities.\n",
      "• Excellent communication and collaboration skills.\n",
      "• Ability to translate complex technical concepts for non-technical audiences.\n",
      "\n",
      "Technical Proficiency:\n",
      "• Proficiency in AI frameworks and programming languages, including Python, R, Java, and C++.\n",
      "• Understanding of key mathematical concepts such as statistics, probability, and linear algebra.\n",
      "• Experience with developing AI solutions, preferably in a professional services environment.\n",
      "• Experience with common AI/ML algorithms and models, neural networks, deep learning, natural language processing, and prompt engineering.\n",
      "• Knowledge of REST API development.\n",
      "• Knowledge of Microsoft technologies such as Azure OpenAI Service, Azure Machine Learning, Azure AI Studio/prompt flow, Power Automate, and AI/Cognitive Search, along with their application in real-world scenarios.\n",
      "\n",
      "The expected salary range for this position in New York City and Westchester County is $125,000 - $150,000. The actual compensation will be determined based on experience and other factors permitted by law.\n",
      "\n",
      "Jackson Lewis understands that embracing our differences makes us a stronger, better firm. We appreciate the importance of having a workforce that reflects the various communities in which we work, and we strive to create an inclusive environment where diverse employees want to work and where they can flourish professionally. In furtherance of our culture, all qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law.\n",
      "-------------------------\n",
      "JOB LEVEL\n",
      "P55\n",
      "\n",
      "ADDITIONAL JOB LEVELS\n",
      "P40\n",
      "\n",
      "-\n",
      "P50\n",
      "\n",
      "EMPLOYEE ROLE\n",
      "Individual Contributor\n",
      "\n",
      "The Opportunity\n",
      "\n",
      "Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualise, build, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years.\n",
      "\n",
      "At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models and the associated prompt engine. This is an opportunity to reach millions of creatives, helping them recreate the way they work.\n",
      "\n",
      "What you will Do\n",
      "• Deliver end-to-end machine learning solutions that have organizational-wide impact using innovative architectures\n",
      "• Contribute to the backend services for Firefly that power the generative AI features on Firefly website, Photoshop, Illustrator, Express, Stock and other applications/surfaces\n",
      "• Develop GPU optimized, efficient model pipelines for new Firefly features serving a variety of modalities like images, vectors, 3D, etc.\n",
      "• Ensure a scalable, reliable cloud service with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues\n",
      "• Chip in to Project Colligo, the AI superhighway for inference that will handle and serve a collection of ML models in a highly scalable and resilient system\n",
      "• Develop critical aspects of the business logic in the Firefly services to ensure metering of usage, entitlement checks, quota limits and upsell workflows\n",
      "\n",
      "What you need to succeed\n",
      "• PhD or Masters in Computer Engineering, Computer Science, Computer Vision, Robotics, related field or equivalent experience\n",
      "• 4+ years of hands-on experience with PyTorch and Python in a production environment\n",
      "• Proficient with OpenCV\n",
      "• Image Processing, Computer Vision, Generative AI experience is a MUST\n",
      "• Validated expertise in creation and optimization as well as operation of GPU intensive ML workloads in production environments\n",
      "• Deep understanding of model serving, orchestration, scaling and GPU resource management\n",
      "• Demonstrated experience productizing pipelines using generative models\n",
      "• Strong critical thinking, analytical and quantitative problem-solving ability\n",
      "• Excellent communication, relationship skills and a strong team player\n",
      "\n",
      "#FireflyGenAI\n",
      "\n",
      "Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $170,900 -- $325,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.\n",
      "\n",
      "At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).\n",
      "\n",
      "In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.\n",
      "\n",
      "Internal Opportunities\n",
      "\n",
      "Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!\n",
      "\n",
      "Put your best foot forward:\n",
      "\n",
      "1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.\n",
      "\n",
      "2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.\n",
      "\n",
      "3. Check out these tips to help you prep for interviews.\n",
      "\n",
      "4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.\n",
      "\n",
      "Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.\n",
      "\n",
      "At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.\n",
      "\n",
      "Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.\n",
      "\n",
      "If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact accommodations@adobe.com.\n",
      "-------------------------\n",
      "Summary\n",
      "Posted: Mar 13, 2024\n",
      "Weekly Hours: 40\n",
      "Role Number:200539790\n",
      "\n",
      "At Apple, great ideas have a way of becoming extraordinary products, services, and customer experiences. Bring passion and dedication and there's no telling what you could accomplish. Are you passionate about empowering decision making through data? Do you want to work in a highly energized environment where your abilities will be challenged on a day-to-day basis? If so, the Apple GBI org is looking for people like you!\n",
      "\n",
      "The Global Business Intelligence (GBI) org manages Apple’s enterprise data warehouse with petabytes of data, processes billions of rows of data to provide insights and enable informed business decisions. The GBI team provides data analytics, ML and data science solutions to various Apple business groups. We leverage diverse technology stacks such as Snowflake, HANA, SingleStore, along with multiple processing and analytics tools and technologies. Designing, innovating and delivering solutions with these big data technologies is a core part of our daily job!\n",
      "\n",
      "We are looking for an experienced engineering program manager (EPM) to drive delivery of projects. Are you a program manager that thrives on working on new technologies and fast-paced application and product development? Do you like to lead a multidisciplinary team working on the future of enterprise data analytics? Then we want to hear from you!\n",
      "\n",
      "Key Qualifications\n",
      "\n",
      "Key Qualifications\n",
      "• 7+ years of hands-on engineering project management experience in Business Intelligence/Data Engineering/Analytics areas\n",
      "• Experience in various project methodologies and processes, including Waterfall, Change Management and Agile/Scrum\n",
      "• Proven track recording managing large and complex cross functional programs, bringing multiple teams (including project managers) together and march towards a common objective\n",
      "• Self-motivated, collaborative, curious, proactive with demonstrated critical thinking capability\n",
      "• Good listening/comprehension, verbal and written communication skills, ability to distill and present information for the right audience\n",
      "• Exceptional attention to detail and organization\n",
      "• Demonstrate resilience and adaptability, in the midst of ambiguity and uncertainty, to promote transparency and inclusion, and ultimately drive business impacting change\n",
      "• Working knowledge of SAP and data warehouse, and/or prior experience with large scale system migration projects strongly preferred.\n",
      "\n",
      "Description\n",
      "\n",
      "Description\n",
      "In this role, you will drive project management - including large, cross-functional ones - to deliver for important business initiatives. This requires leading all aspects of SDLC (software development life cycle) efforts: you will define, schedule, prioritize, track, measure and communicate status. You will lead efforts across teams representing multiple layers of the technology stack as well as other cross-functional partners, including project managers, engineering, platform, framework, and business groups. Facilitating requirements brainstorming and design review sessions with internal and external partners, while understanding functionalities and features implemented are essential. Identifying and mitigating risks, removing road blocks and facilitating communication between teams are critical aspects to the role.\n",
      "\n",
      "Additionally, you’ll assist in other EPM responsibilities including but not limited to maintaining roadmap, providing oversight on resource capacity and funding at portfolio level, rolling out project framework and governance, etc. We value your ability to lead and develop new processes and ideas when it makes sense to re-evaluate, which at Apple is always!\n",
      "\n",
      "Education & Experience\n",
      "\n",
      "Education & Experience\n",
      "Bachelor’s degree or equivalent work experience preferred.\n",
      "\n",
      "Additional Requirements\n",
      "\n",
      "Additional Requirements\n",
      "\n",
      "Pay & Benefits\n",
      "\n",
      "Pay & Benefits\n",
      "• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $132,300.00 and $241,500.00, and your base pay will depend on your skills, qualifications, experience, and location.\n",
      "\n",
      "Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.\n",
      "\n",
      "Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.\n",
      "\n",
      "Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.\n",
      "-------------------------\n",
      "Who is Recruiting from Scratch :\n",
      "\n",
      "Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.\n",
      "\n",
      "https://www.recruitingfromscratch.com/\n",
      "\n",
      "Job Description:\n",
      "\n",
      "We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. As a Senior Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to solve complex business problems. You will collaborate with cross-functional teams to drive innovation and make a significant impact on our organization.\n",
      "\n",
      "Responsibilities:\n",
      "• Machine Learning Model Development: Develop, train, and optimize machine learning models using a variety of tools and frameworks.\n",
      "• Data Preparation: Collect, clean, and preprocess data to ensure its quality and suitability for machine learning applications.\n",
      "• Feature Engineering: Create and select relevant features that improve model performance and predictive accuracy.\n",
      "• Algorithm Selection: Choose appropriate machine learning algorithms and techniques based on problem requirements and datasets.\n",
      "• Model Evaluation: Design and implement rigorous evaluation methodologies to assess the performance and robustness of machine learning models.\n",
      "• Deployment: Deploy machine learning models into production environments, ensuring scalability and reliability.\n",
      "• Monitoring and Maintenance: Continuously monitor model performance, identify and address issues, and retrain models as needed.\n",
      "\n",
      "Qualifications:\n",
      "• Education: At least a Bachelor's degree in computer science, machine learning, artificial intelligence, or a related field is preferred.\n",
      "• Experience: A minimum of 5 of hands-on experience in machine learning model development and deployment.\n",
      "• Programming Skills: Proficiency in programming languages such as Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, etc).\n",
      "• Deep Learning: Strong expertise in deep learning frameworks and architectures is a plus.\n",
      "• Data Handling: Excellent skills in data manipulation, preprocessing, and feature engineering.\n",
      "• Model Deployment: Experience with deploying machine learning models in production using containerization and orchestration tools (e.g., Docker, Kubernetes).\n",
      "\n",
      "If you are a passionate and experienced Senior Machine Learning Engineer looking to work on challenging projects and make a meaningful impact, we encourage you to apply.\n",
      "\n",
      "Base Salary: $150,000 - $200,000\n",
      "\n",
      "https://www.recruitingfromscratch.com/\n",
      "-------------------------\n",
      "Principal AI Engineer\n",
      "\n",
      "Job Summary:\n",
      "\n",
      "Capital One is currently in search of a Senior Distinguished Engineer for AI Systems to partake in constructing the base of our company's AI capabilities. As a part of the team, you will work together with AI researchers and engineers to come up with secure and reliable infrastructures, big-scale distributed training clusters, and innovative research and development ventures in the field of AI. The ideal candidate should possess extensive knowledge in cloud environments, machine learning, and distributed computing, and must have a strong motivation to lead the banking industry towards continuous innovation.\n",
      "\n",
      "Job Duties and Responsibilities:\n",
      "• Develop a durable infrastructure to support lengthy, high-stakes training processes that depend on container and checkpointing libraries.\n",
      "• Establishing a robust infrastructure to support the deployment and operation of large machine learning models is crucial within our public cloud environment.\n",
      "• In order to enhance the efficiency of training tasks, a large-scale training cluster with a thousand nodes can be deployed and optimized in the public cloud, focusing on the optimization of storage and networking stack.\n",
      "• Develop and execute performance tests on AI software systems to measure their efficiency in handling large amounts of data, complex algorithms, and processing speeds to ensure optimal performance.\n",
      "• Utilize big language models (LLMs) and feature models (FMs) to design and create innovative applications that meet end-user demands.\n",
      "• Developing and integrating continuous integration/continuous delivery (CI/CD) pipelines into MLOps workflows can streamline the deployment of foundation models.\n",
      "\n",
      "Qualifications and Experience:\n",
      "• A technical degree, such as Computer Science or Computer Engineering at the Bachelor's level, is necessary for this position.\n",
      "• With more than seven years of expertise, I specialize in developing distributed computing, high-performance computing (HPC), and extensive machine learning (ML) systems.\n",
      "• Proficient in Python or C/C++, with valuable expertise in developing AI and ML algorithms gained over 5+ years of experience.\n",
      "• My expertise spans over 3 years in the entire machine language development process, utilizing frameworks for artificial intelligence and machine learning in conjunction with the public cloud.\n",
      "\n",
      "Preferred Qualifications:\n",
      "• Possession of a Master's degree or PhD in Engineering, Computer Science, or a related technical field, or an equivalent practical experience that centers on modern AI techniques is required.\n",
      "• Proficient in developing extensive distributed systems within cloud environments like AWS, Azure or GCP.\n",
      "• With a proven track record of designing cloud systems for a wide range of industries, the candidate has extensive experience in ensuring the security, availability, performance, scalability, and cost-effectiveness of these systems.\n",
      "• Successfully navigating the MLOps life cycle to deliver extensive models has been a key area of expertise in our team.\n",
      "• Creating GPU clusters in the public cloud while integrating storage and networking in a closely-knit manner has been a challenging but rewarding experience.\n",
      "• Proficient in utilizing the full technology stack for the distributed training of large models, encompassing machine learning compilers, frameworks for distributed training, and ML development platforms including PyTorch, TensorFlow, Lightning, and others.\n",
      "• Proficient in utilizing AI technology stack encompassing areas such as prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, and fine-tuning to deliver high-quality results.\n",
      "• Scientific papers presented at highly-regarded conferences or notable contributions in the field of neural networks, distributed training, and systems modeling language (SysML).\n",
      "\n",
      "Benefits of the Posiiton:\n",
      "• Monetary rewards based on performance, including bonuses and incentives for the long-term, are known as performance-based incentive compensation.\n",
      "• Our benefits package covers everything you need to ensure your overall well-being, from healthcare to financial incentives.\n",
      "• Capital One offers several avenues for professional advancement and personal growth for its employees.\n",
      "• The workplace nurtures growth and development by promoting an inclusive and supportive atmosphere.\n",
      "\n",
      "About Company:\n",
      "\n",
      "At Capital One, our mission is centered around constructing AI systems that are dependable, ethical, and incorporate human input, enhancing the financial industry. Our primary attention is on AI and machine learning advancements that will bring about automated and intelligent customer support. With our extensive utilization of machine learning platforms and public cloud infrastructure, we possess the necessary resources to capitalize on AI's potential. Joining us will enable you to participate in the reconstruction of how we serve clients and corporations while making a substantial impact on the future of banking.\n",
      "-------------------------\n",
      "Ever wished you could see through walls? Imagine using AI to spot problems before they happen, keeping vital systems running smoothly, and making our world safer. We’re seeking a brilliant visioneer to join a high-impact team, wielding the power of computer vision to transform raw images into critical insights.\n",
      "\n",
      "You’ll be…\n",
      "• Unveiling hidden secrets: Inspecting infrastructure from afar, seeing what human eyes miss, and predicting future issues before they become headaches.\n",
      "• The Sherlock Holmes of Industrial sector: Scouring images for cracks, glitches, and potential dangers, ensuring everything runs like clockwork.\n",
      "• Building AI superheroes: Training algorithms to see the unseen, developing models that become the first line of defense against unforeseen problems.\n",
      "• A champion for progress: Using your expertise to improve lives, make a real difference, and be part of something truly groundbreaking.\n",
      "\n",
      "Sound like your destiny? Bring your…\n",
      "• Sharp mind and passion for problem-solving (a degree in tech is a plus, but curiosity counts too!).\n",
      "• Eagle eye for detail and knack for spotting anomalies.\n",
      "• Teamwork skills to collaborate with other brilliant minds and build a dream team.\n",
      "• Desire to make a real impact and leave your mark on the world.\n",
      "\n",
      "Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.\n",
      "\n",
      "George Wiles\n",
      "-------------------------\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(documents)):\n",
    "    print(documents[i].content)\n",
    "    print(\"-------------------------\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "documents[0].meta.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "documents[0].meta['job_description']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "bytewax-env",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}