Senior AI Researcher — Foundation Models

Capital One

San Francisco (CA)

On-site

USD 239,000 - 272,000

Full time

6 days ago
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Job summary

Capital One is seeking an Applied Researcher 4 to advance AI foundations and build scalable models that power real-time customer experiences. You will collaborate with data scientists, software engineers, and product managers to translate research into production-ready solutions using PyTorch, HuggingFace, and cloud platforms.

This role requires a PhD or equivalent experience, a track record in large language or vision models, and a passion for experimentation, reproducibility, and delivering

Qualifications

  • PhD or equivalent in a relevant field or MS + 2 years of applied research experience.
  • Proven ability to lead research initiatives and publish or present results.
  • Experience delivering open-source ML libraries or platform-level code.

Responsibilities

  • Partner with data scientists, software engineers, ML engineers and product managers to deliver AI-powered products.
  • Build AI foundation models from design to training, evaluation, validation and deployment.
  • Conduct high-impact applied research translating newest AI developments into customer-facing experiences.
  • Translate complex research into tangible business goals for stakeholders.
  • Collaborate with senior researchers to prepare technical reports or conference submissions.

Skills

AI foundations
Open-source ML
Research leadership
Cross-functional collaboration
Experimentation
Cloud computing
Model deployment

Education

PhD in Electrical Engineering, Computer Science, AI or related fields
MS + 2 years Applied Research experience in related fields

Tools

PyTorch
AWS Ultraclusters
HuggingFace
Lightning

Job description

Capital One is seeking an Applied Researcher 4 to advance AI foundations and build scalable models that power real-time customer experiences. You will collaborate with data scientists, software engineers, and product managers to translate research into production-ready solutions using PyTorch, HuggingFace, and cloud platforms.

This role requires a PhD or equivalent experience, a track record in large language or vision models, and a passion for experimentation, reproducibility, and delivering

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