Capital One

Applied Researcher I, AI Foundations, LLM Customization, Finetuning, Reinforcement Learning

Capital One

full-time

Posted on:

Location Type: Hybrid

Location: CaliforniaMassachusettsUnited States

Visit company website

Explore more

AI Apply
Apply

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
  • Deliver AI-powered products that change how customers interact with their money
  • Leverage technologies such as Pytorch, AWS Ultraclusters, Huggingface, and more
  • Build AI foundation models through all phases of development
  • 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
  • M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
  • Innovative, creative, and a leader with passion for talent development
  • Experience building large deep learning models
  • Technical experience with open-source languages and hands-on experience developing AI foundation models using open-source tools and cloud computing platforms,
  • Expertise in areas such as training optimization, self-supervised learning, robustness, explainability, RLHF
Benefits
  • 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 modelstraining optimizationself-supervised learningrobustnessexplainabilityRLHF
Soft Skills
innovativecreativeleadershippassion for talent development
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