Chime's Data Science & Machine Learning team powers decisions across the company, from how we protect members to how we build products for them. We're looking for a Director to lead that team through its biggest shift yet: moving from traditional models to a modern, AI-driven approach built on transformers and foundation models. You'll lead managers and staff-level engineers, define what great ML looks like at Chime's scale, and rebuild the practice around it. If you want to shape the future of ML at a company where it directly affects members' financial lives, this is the role.

Lead and grow Chime's ML organization, managing managers and staff-level engineers across all of Chime's ML work.

Set the vision and roadmap for moving Chime's models from traditional approaches to transformer- and foundation-model-based systems.

Coach your managers to build strong, high-performing teams, and raise the technical bar across the practice.

Shape the architecture of Chime's ML platform, including how we train, fine-tune, serve and scale models on a modern GPU-based stack.

Define what good ML looks like at Chime: standards for model development, evaluation, deployment and monitoring.

Partner with product, engineering, risk and business leaders to turn ML into measurable impact for members.

Make the call on when to build, buy or fine-tune, and explain the trade-offs clearly to executives.

To thrive in this role, you have

Deep machine learning expertise, with a well-formed point of view on transformer and foundation models and where they do (and don't) beat traditional approaches.

Familiarity with GPUs and the modern ML stack, from training and fine-tuning to serving models in production at scale.

Experience managing managers and staff-level ICs, with the technical credibility to earn their trust.

Director, Machine Learning Engineering

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Chime

More roles at Chime