Senior AI Foundations Researcher

Capital One Group; San Jose (CA); On-site; USD 239,000 - 272,000; Full time

Job summary

Capital One is seeking an Applied Researcher 4 in San Jose to advance AI foundation models and scalable ML systems that enhance real-time banking experiences. You will train, evaluate, and productionize models, transforming research into impactful customer solutions.

You will collaborate with data scientists, software engineers, and product managers, driving publications and internal tech reports while owning a research agenda and delivering high-quality, scalable ML contributions.

Qualifications

• PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics or related fields or MS + 2 years applied research.
• Experience building large deep learning models and AI foundation models.
• Proven publication record in ML/AI conferences such as ACL/NeurIPS/ICML/ICLR.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products for customer interactions.
• Develop and train AI foundation models from design to deployment and evaluation.
• Translate research into tangible business goals and measurable outcomes.
• Prepare internal reports or conference submissions summarizing novel methods or findings.
• Collaborate with senior researchers to advance the team’s research agenda.

Skills

AI research

Collaboration

Model training

Publication track record

Education

PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics

MS in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics plus 2 years Applied Research

Tools

PyTorch

AWS Ultraclusters

Huggingface

Lightning

Job description

Capital One is seeking an Applied Researcher 4 in San Jose to advance AI foundation models and scalable ML systems that enhance real-time banking experiences. You will train, evaluate, and productionize models, transforming research into impactful customer solutions.

You will collaborate with data scientists, software engineers, and product managers, driving publications and internal tech reports while owning a research agenda and delivering high-quality, scalable ML contributions.