Staff AI Researcher — Foundation Models

Capital One; New York (NY); On-site; USD 334,000 - 381,000; Full time

Job summary

Capital One seeks a Staff Applied Researcher in New York, NY to advance AI foundations and build scalable ML systems that enhance customer experiences. You will work with data scientists, software engineers and product managers to push the boundaries of real-time AI in banking.

The role emphasizes collaboration, experimentation, and translating complex research into deployable capabilities, with a focus on high-quality, scalable solutions for customer interactions.

Qualifications

• PhD in a related field with 4+ years of applied research experience or MS with 6+ years of applied research experience.
• Experience building large deep learning models across language, vision, events, or graphs.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, ML engineers and product managers to deliver AI-powered products.
• Leverage a broad stack of technologies — PyTorch, AWS Ultraclusters, Huggingface, Lightning — to reveal insights from large datasets.
• Build AI foundation models through all development phases from design to deployment.
• Engage in high-impact applied research to translate AI advances into customer-facing capabilities.
• Define and steward novel research directions aligning with Capital One's scientific agenda.

Skills

Deep learning

AI foundations

Open-source tools

Cloud computing

Cross-functional collaboration

Education

PhD in Electrical Engineering

PhD in Computer Engineering

PhD in Computer Science

PhD in AI/Mathematics

MS in Electrical Engineering

Tools

PyTorch

AWS Ultraclusters

Huggingface

Lightning

Job description

Capital One seeks a Staff Applied Researcher in New York, NY to advance AI foundations and build scalable ML systems that enhance customer experiences. You will work with data scientists, software engineers and product managers to push the boundaries of real-time AI in banking.

The role emphasizes collaboration, experimentation, and translating complex research into deployable capabilities, with a focus on high-quality, scalable solutions for customer interactions.