AI Foundations Researcher: Evaluation & Agentic Workflows

Capital One Group

Cambridge (MA)

Hybrid

USD 263,000 - 300,000

Full time

35 hours ago
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Job summary

Capital One is seeking an Applied Researcher 5 for AI Foundations in Cambridge, MA. You will collaborate with data scientists, software engineers, ML engineers, and product managers to build AI-powered products and production-grade foundations.

The role emphasizes research, open-source contributions, and translating complex findings into business impact. You will work with PyTorch, AWS Ultraclusters, HuggingFace, and Lightning to push state-of-the-art models from design to deployment, while

Qualifications

  • PhD or MS with required experience in Applied Research or related field.
  • Experience building AI foundation models and production-ready ML systems.
  • Publications or notable open-source contributions in ML/AI encouraged.

Responsibilities

  • Partner with a cross-functional team to deliver AI-powered products that change customer interactions.
  • Leverage PyTorch, AWS Ultraclusters, HuggingFace, Lightning to analyze large numeric/textual data.
  • Build AI foundation models from design to training, evaluation, and deployment.
  • Perform applied research to translate latest AI advances into production-ready solutions.
  • Translate complex work into tangible business goals through strong communication.
  • Lead research threads bridging prototyping and deployment with ML engineering teams.

Skills

Cross-functional collaboration
Research leadership
Machine learning
Open-source contributions

Education

PhD in Computer Science / ML / EE

Tools

PyTorch
AWS Ultraclusters
HuggingFace
Lightning

Job description

Capital One is seeking an Applied Researcher 5 for AI Foundations in Cambridge, MA. You will collaborate with data scientists, software engineers, ML engineers, and product managers to build AI-powered products and production-grade foundations.

The role emphasizes research, open-source contributions, and translating complex findings into business impact. You will work with PyTorch, AWS Ultraclusters, HuggingFace, and Lightning to push state-of-the-art models from design to deployment, while

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