Senior Applied AI Researcher: Foundation Models

Capital One; San Francisco (CA); On-site; USD 382,000 - 436,000; Full time

Job summary

Capital One is seeking a Sr. Staff Applied Researcher in San Francisco to lead and mentor a team of applied scientists while shaping Capital One's AI research agenda.

You will collaborate with data science, engineering and product partners to translate cutting-edge AI into scalable customer experiences. You will build and evaluate foundation models using open-source tools and cloud platforms, publish influential research, and drive practical AI solutions from design through deployment, while

Qualifications

• PhD or MS with extensive experience in applied research.
• Strong publication or project track record in ML/AI.
• Experience leading or mentoring teams of scientists.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Build AI foundation models from design to deployment.
• Engage in high-impact applied research and publish findings.
• Translate complex work into tangible business goals.
• Define and evolve Capital One's long-term AI research agenda.

Skills

Foundations of AI

Deep learning models

Open-source tools

Cloud computing

Research leadership

Model deployment

Problem solving

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

Job description

Capital One is seeking a Sr. Staff Applied Researcher in San Francisco to lead and mentor a team of applied scientists while shaping Capital One's AI research agenda.

You will collaborate with data science, engineering and product partners to translate cutting-edge AI into scalable customer experiences. You will build and evaluate foundation models using open-source tools and cloud platforms, publish influential research, and drive practical AI solutions from design through deployment, while