Applied AI Researcher, Foundation Models

Capital One

San Jose (CA)

On-site

USD 239,000 - 272,000

Full time

29 hours ago
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Benefits offered by this job

Health benefits
Performance incentives
Competitive compensation

Job summary

Capital One is seeking an Applied Researcher in San Jose, CA to advance AI foundations and large-scale ML deployments. You will collaborate with data scientists, engineers and product managers to transform research into real customer experiences.

Your work will span design, training, evaluation, and deployment of cutting-edge models using open-source tools and cloud platforms. You will pursue high-impact research, publish findings, and contribute to library or platform developments, with a

Qualifications

  • PhD in Computer Science, Electrical Engineering, AI or related fields by start date or MS + 2 years applied research.
  • Strong track record in AI/ML research with publications.
  • Experience delivering large-scale ML models and libraries to products.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products for customers.
  • Develop and refine AI foundation models from design to deployment.
  • Conduct applied research and publish findings or present at conferences.
  • Translate complex ML work into tangible business impact.
  • Collaborate with senior researchers on technical reports and submissions.

Skills

AI foundation models
Open-source tools
Cloud computing
Research agenda
Publications
Leadership

Education

PhD in CS/EE/AI
MS + 2 years applied research

Tools

PyTorch
HuggingFace
AWS
Lightning
RLHF

Job description

Capital One is seeking an Applied Researcher in San Jose, CA to advance AI foundations and large-scale ML deployments. You will collaborate with data scientists, engineers and product managers to transform research into real customer experiences.

Your work will span design, training, evaluation, and deployment of cutting-edge models using open-source tools and cloud platforms. You will pursue high-impact research, publish findings, and contribute to library or platform developments, with a

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