Capital One's AI Foundations team is seeking an Applied Researcher to build and scale AI foundation models, focusing on LLM core and agentic AI. You will partner with data scientists, software engineers, and product managers to deliver AI-powered customer experiences. The role spans the full research lifecycle—from model design and training to evaluation, validation, and production implementation—using PyTorch, AWS, and modern ML infrastructure.
Responsibilities
Partner with a cross-functional team of data scientists, software engineers, ML engineers, and product managers to deliver AI-powered products.
Leverage PyTorch, AWS Ultraclusters, Hugging Face, Lightning, and VectorDBs to uncover insights from large volumes of numeric and textual data.
Build AI foundation models through all phases: design, training, evaluation, validation, and implementation.
Engage in high-impact applied research to translate the latest AI developments into next-generation customer experiences.
Translate complex research into tangible business goals and communicate with stakeholders.
Requirements
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.
Deep understanding of AI methodologies and experience building large deep learning models (language, images, events, or graphs).
Capital One is a major American bank holding company specializing in credit cards, consumer banking, and commercial banking products. It is known for its information-based strategy and technology-driven approach to banking and has grown into one of the largest financial institutions in the United States.