Capital One

Applied Researcher I – AI Foundations

Capital One

full-time

Posted on:

Location Type: Hybrid

Location: New York CityCaliforniaMassachusettsUnited States

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Salary

💰 $218,700 - $272,300 per year

Tech Stack

About the role

  • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money
  • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data
  • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
  • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.

Requirements

  • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
  • Experience building large deep learning models, whether on language, images, events, or graphs
  • Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms
  • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects
  • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects
Benefits
  • Competitive pay
  • Performance based incentive compensation (may include cash bonus(es) and/or long term incentives)
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
deep learningAI foundation modelsmachine learningapplied researchdata analysismodel evaluationmodel validationmodel implementationnumerical data processingtextual data processing
Soft Skills
collaborationproblem-solvingcreativityindependenceresearch agenda ownershipproject managementcommunicationcritical thinkinginnovationidea generation
Certifications
PhD in Electrical EngineeringPhD in Computer EngineeringPhD in Computer SciencePhD in AIPhD in MathematicsM.S. in Electrical EngineeringM.S. in Computer EngineeringM.S. in Computer ScienceM.S. in AIM.S. in Mathematics