Applied AI Researcher II — Foundations & Large Models

Capital One; San Jose (CA); On-site; USD 286,400 - 326,800; Full time

Benefits offered by this job

Health benefits

Competitive benefits package

Job summary

Capital One is seeking an Applied Researcher to partner with data scientists, software engineers, and product managers on AI-powered banking experiences. You will build and deploy AI foundation models, training pipelines, and scalable systems using PyTorch, HuggingFace, and AWS Ultraclusters.

The role emphasizes translating complex research into practical business outcomes and contributing to the next generation of customer experiences.

Qualifications

• PhD or MS with required years of applied research experience.
• Experience with AI foundation models and open-source tooling.
• Strong research and publication track record in ML/AI.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Leverage PyTorch, AWS Ultraclusters, HuggingFace, and more to extract insights.
• Build AI foundation models from design to training and evaluation.
• Engage in high-impact applied research to push AI into production.
• Translate complex work into tangible business goals.

Skills

Team collaboration

Strategic thinking

Communication

Mentorship

Open-source languages

Education

PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields

MS in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields

Tools

PyTorch

AWS Ultraclusters

Huggingface

Lightning

VectorDBs

Cloud computing platforms

Job description

Capital One is seeking an Applied Researcher to partner with data scientists, software engineers, and product managers on AI-powered banking experiences. You will build and deploy AI foundation models, training pipelines, and scalable systems using PyTorch, HuggingFace, and AWS Ultraclusters.

The role emphasizes translating complex research into practical business outcomes and contributing to the next generation of customer experiences.