AI Foundations Researcher I — Applied ML

Capital One; Cambridge (MA); On-site; USD 219,000 - 250,000; Full time

Job summary

Capital One Cambridge, MA is seeking an Applied Researcher to build AI foundation models and drive AI-powered banking experiences. You will collaborate with data scientists, software engineers, and product managers to deploy scalable AI solutions across customer interactions and internal tools.

The role focuses on training, evaluation, and deployment of advanced models, with an emphasis on responsible, high-impact research that informs product strategy and business outcomes.

Qualifications

• PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics or related field, or MS with 2 years of applied research experience.
• Strong background in AI foundations and large language models.
• Experience delivering AI libraries or platform-level code to products.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, ML engineers, and product managers to deliver AI-powered products.
• Leverage PyTorch, AWS Ultraclusters, HuggingFace, Lightning, VectorDBs to extract insights from large data.
• Build AI foundation models from design through training, evaluation, validation, and implementation.
• Engage in applied research to push AI developments into customer experiences.
• Translate complex work into tangible business goals.

Skills

Cross-functional collaboration

Research mindset

Open-source programming

LLM experience

Model scaling

Communication of complex ideas

Education

PhD in Electrical Engineering

MS in Electrical Engineering/CS/AI with 2 years Applied Research

Tools

PyTorch

AWS Ultraclusters

HuggingFace

Lightning

VectorDBs

Job description

Capital One Cambridge, MA is seeking an Applied Researcher to build AI foundation models and drive AI-powered banking experiences. You will collaborate with data scientists, software engineers, and product managers to deploy scalable AI solutions across customer interactions and internal tools.

The role focuses on training, evaluation, and deployment of advanced models, with an emphasis on responsible, high-impact research that informs product strategy and business outcomes.