Senior Applied AI Researcher — Foundation Models

Capital One National Association; McLean (VA); On-site; USD 219,000 - 250,000; Full time

Benefits offered by this job

Health benefits

Job summary

Capital One is seeking an Applied Researcher 4 in McLean, VA to advance AI systems that power real-time customer experiences. You’ll build foundation models, partner with data scientists and engineers, and translate complex research into business value.

Ideal candidates bring PhD/MS in a relevant field, strong ML research, and hands-on experience with PyTorch and cloud tech. The role includes collaboration with senior researchers and a path toward impactful industry contributions.

Qualifications

• PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, or MS with 2 years of Applied Research experience.
• Proven track record in applied AI/ML research and producing usable results.
• Experience with open-source ML frameworks and cloud platforms.

Responsibilities

• Partner with a cross-functional team to deliver AI-powered products for customers.
• Leverage a broad stack (PyTorch, AWS Ultraclusters, Huggingface, Lightning) to extract insights from large data.
• Build AI foundation models from design to training, evaluation, and deployment.
• Translate complex research into tangible business goals and impact.
• Collaborate with senior researchers on internal reports or conference papers.

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 + 2 years experience

Tools

PyTorch

AWS Ultraclusters

Huggingface

Lightning

Job description

Capital One is seeking an Applied Researcher 4 in McLean, VA to advance AI systems that power real-time customer experiences. You’ll build foundation models, partner with data scientists and engineers, and translate complex research into business value.

Ideal candidates bring PhD/MS in a relevant field, strong ML research, and hands-on experience with PyTorch and cloud tech. The role includes collaboration with senior researchers and a path toward impactful industry contributions.