Senior Applied AI Researcher – Foundation Models

Capital One Group; San Francisco (CA); Hybrid; USD 286,000 - 327,000; Full time

Job summary

Capital One is seeking a researcher to join the AI Foundations team to build and deploy AI foundation models that transform how customers interact with money. You will collaborate with data scientists, software engineers, and product managers to translate complex ML research into scalable, real-time experiences.

The role emphasizes hands-on development, training, evaluation, and deployment of cutting-edge models, with a strong focus on real-world impact and collaboration across disciplines.

Qualifications

• PhD or MS with required experience in Applied Research
• Hybrid position with on-site presence required
• Experience building large deep learning models (language, vision, graphs) and related methods

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products
• Leverage PyTorch/AWS/HuggingFace stack to extract insights from large data
• Build AI foundation models from design to deployment
• Engage in applied research translating insights to production
• Translate complex work into tangible business goals
• Lead research threads bridging prototype development and ML engineering

Skills

Pytorch

Huggingface

Lightning

AI foundation models

Applied Research

Large language models

Training optimization

Graph neural networks

Self-supervised learning

Inference at scale

Education

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

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

Tools

Kubernetes

PyTorch Geometric

DGL

HuggingFace

Job description

Capital One is seeking a researcher to join the AI Foundations team to build and deploy AI foundation models that transform how customers interact with money. You will collaborate with data scientists, software engineers, and product managers to translate complex ML research into scalable, real-time experiences.

The role emphasizes hands-on development, training, evaluation, and deployment of cutting-edge models, with a strong focus on real-world impact and collaboration across disciplines.