Applied AI Researcher I: Foundations & LLMs

Capital One Group; New York, Northern (NY, KY); Hybrid; USD 239,000 - 272,000; Full time

Job summary

Capital One is seeking an Applied Researcher I (AI Foundations, VLM) in New York, NY to drive research and engineering work on foundational AI models and real‑world customer applications. You will collaborate with data scientists, engineers, and product teams to turn cutting‑edge methods into scalable, trusted systems.

The ideal candidate has a PhD or MS with strong publications, deep knowledge of DL/NLP, and hands‑on experience delivering model‑scale solutions using open‑source tools and cloud

Qualifications

• PhD in Computer Science, Electrical/Computer Engineering, AI, Mathematics or related fields, or MS with 2 years Applied Research experience.
• Experience with large DL models and NLP/LLMs, including training optimization or RLHF.
• Strong publication record or project work demonstrating research impact.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Build AI foundation models from design to deployment.
• Engage in applied research and translate findings into customer-focused solutions.
• Translate complex technical work into tangible business goals.
• Drive research vision and autonomy for long-running projects.

Skills

Interpersonal skills

Analytical thinking

Leadership

Education

PhD in Computer Science or related field

MS in Electrical/Computer Engineering or related field

Tools

PyTorch

AWS Ultraclusters

Huggingface

Lightning

VectorDBs

Job description

Capital One is seeking an Applied Researcher I (AI Foundations, VLM) in New York, NY to drive research and engineering work on foundational AI models and real‑world customer applications. You will collaborate with data scientists, engineers, and product teams to turn cutting‑edge methods into scalable, trusted systems.

The ideal candidate has a PhD or MS with strong publications, deep knowledge of DL/NLP, and hands‑on experience delivering model‑scale solutions using open‑source tools and cloud