
Applied Researcher II – AI Foundations
Capital One
full-time
Posted on:
Location Type: Office
Location: New York City • California • New York • United States
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Salary
💰 $262,500 - $326,800 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
- 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, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
- 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
- Experience building large deep learning models
- Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms
- Deep understanding of the foundations of AI methodologies
- Experience delivering libraries, platform level code or solution level code to existing products
Benefits
- comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
- performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI foundation modelsdeep learning modelsapplied researchmachine learningdata sciencesoftware engineeringcodingevaluationvalidationimplementation
Soft Skills
collaborationcommunicationcross-functional teamworkproblem-solvinginnovation
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