Senior AI Foundations Researcher

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

Job summary

Capital One is seeking a highly skilled AI researcher to join the AI Foundations team in San Jose, CA. You will build AI foundation models, collaborate with data scientists and engineers, and translate complex research into scalable customer experiences.

The role emphasizes publishing, experimentation, and delivering models at scale, with exposure to PyTorch, HuggingFace, AWS, and cloud platforms. A PhD or equivalent research experience is required.

Qualifications

• Currently pursuing or holding a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, or an MS with 2 years of applied research experience.
• Strong track record in AI research, with publications or demonstrable project outcomes.
• Experience with open-source frameworks and cloud platforms is preferred.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products that transform customer interactions with money.
• Build AI foundation models from design through training, evaluation, validation, and implementation.
• Conduct applied research to push state-of-the-art AI into production-ready customer experiences.
• Translate complex research into tangible business goals and measurable impact.
• Collaborate with senior researchers to prepare internal reports or conference submissions.

Skills

AI Foundations

Open-source collaboration

Python

Communication

Education

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

MS in Electrical/Computer Science or related fields + 2 years applied research

Tools

PyTorch

HuggingFace

AWS

Lightning

Job description

Capital One is seeking a highly skilled AI researcher to join the AI Foundations team in San Jose, CA. You will build AI foundation models, collaborate with data scientists and engineers, and translate complex research into scalable customer experiences.

The role emphasizes publishing, experimentation, and delivering models at scale, with exposure to PyTorch, HuggingFace, AWS, and cloud platforms. A PhD or equivalent research experience is required.