Senior AI Researcher, Foundation Models

Capital One

McLean (VA)

On-site

USD 219,000 - 250,000

Full time

38 hours ago
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Job summary

Capital One is seeking an Applied Researcher to help advance our AI foundation models and real-time customer experiences. You will collaborate with data scientists, engineers, and product managers to build scalable AI systems using PyTorch, HuggingFace, and cloud platforms.

You will drive research from concept to production, and present findings in internal reports or external conferences. The role requires a PhD or MS with substantial applied research, with a strong emphasis on responsible AI,

Qualifications

  • PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics or related fields with start date met or MS + 2 years applied research.
  • Experience with AI foundation models and large-scale ML research.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products that transform customer interactions.
  • Develop and train AI foundation models from design through training, evaluation and deployment.
  • Translate complex research outcomes into business goals and actionable insights.
  • Prepare internal tech reports or conference submissions with senior researchers.

Skills

Open-source tooling
Cloud computing
AI foundation models
Python
PyTorch

Education

PhD in Electrical Engineering or Computer Science
MS in Electrical Engineering, Computer Engineering, CS, AI, Mathematics with 2 years applied research

Tools

Pytorch
AWS Ultraclusters
Huggingface
Lightning

Job description

Capital One is seeking an Applied Researcher to help advance our AI foundation models and real-time customer experiences. You will collaborate with data scientists, engineers, and product managers to build scalable AI systems using PyTorch, HuggingFace, and cloud platforms.

You will drive research from concept to production, and present findings in internal reports or external conferences. The role requires a PhD or MS with substantial applied research, with a strong emphasis on responsible AI,

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