Applied AI Researcher I, Foundations & VLM

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

Job summary

Capital One is hiring an Applied Researcher I (AI Foundations, VLM) in San Francisco to advance AI capabilities that power real customer experiences. You will work on foundation models, large-scale training and evaluation, and apply cutting-edge AI research to production systems.

The role requires a PhD or MS with relevant research experience, hands-on work with open-source tools, and a track record of delivering scalable AI solutions.

Qualifications

• PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics or related fields, or MS with 2 years of applied research experience.
• Experience in delivering AI foundation models and libraries/platform code for products.
• Strong research track record with high-quality ideas or publications.
• Ability to own and pursue a research agenda with long-running projects.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products changing customer interaction with money.
• Leverage PyTorch, AWS Ultraclusters, HuggingFace, Lightning, VectorDBs to extract insights from large data.
• Build AI foundation models from design through training, evaluation and deployment.
• Translate complex research into tangible business goals.
• Communicate effectively with stakeholders.

Skills

Open-source languages

AI foundation models

Training optimization

Self-supervised learning

Robustness

Explainability

RLHF

Engineering mindset

Libraries/ platform code

Education

PhD in EE/CS/AI/Math

MS + 2 years Applied Research

Tools

PyTorch

AWS Ultraclusters

Huggingface

Lightning

VectorDBs

Job description

Capital One is hiring an Applied Researcher I (AI Foundations, VLM) in San Francisco to advance AI capabilities that power real customer experiences. You will work on foundation models, large-scale training and evaluation, and apply cutting-edge AI research to production systems.

The role requires a PhD or MS with relevant research experience, hands-on work with open-source tools, and a track record of delivering scalable AI solutions.