Applied AI Researcher II — LLMs & Foundation Models

Capital One; Cambridge (MA); Hybrid; USD 263,000 - 300,000; Full time

Job summary

Capital One is building world-class applied science and engineering teams to deploy AI-powered banking experiences. You will work with data scientists and engineers to develop AI foundation models, using PyTorch, HuggingFace, and cloud platforms, and translate research into customer-ready features.

You will collaborate across product and technology teams, lead research initiatives, and contribute to scalable AI infrastructure while advancing state-of-the-art methods in ML for real-world

Qualifications

• Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or MS in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
• Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
• Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
• Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

Education

PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields

MS in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields

Tools

Pytorch

AWS Ultraclusters

Huggingface

Lightning

VectorDBs

Job description

Capital One is building world-class applied science and engineering teams to deploy AI-powered banking experiences. You will work with data scientists and engineers to develop AI foundation models, using PyTorch, HuggingFace, and cloud platforms, and translate research into customer-ready features.

You will collaborate across product and technology teams, lead research initiatives, and contribute to scalable AI infrastructure while advancing state-of-the-art methods in ML for real-world