Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring AI/ML Engineers across several teams, Trust & Safety, Lending, Growth, and Foundation Models, and you'll be matched with the team where your background, experience and interests fit best.

Build, train, and deploy deep learning and classical ML models on large-scale financial, transactional, and behavioral datasets

Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live

Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining

Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one

Connect model performance to member outcomes and business metrics, and use experimentation to prove impact

Contribute to the shared ML platform, tooling, and standards that the rest of the team builds on

Help identify where AI/ML creates measurable impact for members — and where a simpler answer is the better one

To thrive in this role, you have

Experience building and deploying deep learning models in production, with a solid grasp of architecture choice, training dynamics, and evaluation — and the judgment to model design choices

Solid machine learning fundamentals: classical modeling, evaluation design, and knowing which metric actually answers the question in front of you

Hands-on experience across the end-to-end ML lifecycle — training, experimentation, optimization, deployment, and monitoring

Senior AI/ML Engineer

Responsibilities

Qualification

Required

Benefits

Company

Chime

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