Staff Machine Learning Engineer, Money (Founding ML Lead)

You have 8+ years of industry experience building and deploying production-scale ML systems.

You have direct experience with credit, lending, or cash advance underwriting, including risk modeling and decisioning.

You have a strong foundation in statistics, probability, and machine learning, and know how to apply them to noisy, real-world financial data.

You are fluent in Python (and/or Java, Scala, or C++) and experienced with ML frameworks such as XGBoost, PyTorch, TensorFlow, or similar.

You have designed and operated ML systems in production, including monitoring, retraining, and model governance.

You can lead complex technical projects end-to-end, influencing stakeholders across multiple orgs.

We’re looking for a

Staff Machine Learning Engineer

to lead the design, development, and deployment of

production-grade ML systems

that drive financial decisioning across DoorDash’s Money ecosystem.

You will start by owning ML-driven

The

Money org

at DoorDash builds the financial products and platforms that power our marketplace — from helping merchants grow their businesses with access to capital, to enabling banking products for Dashers, to optimizing consumer payments and checkout experiences.

We are forming a

new Money Machine Learning team

, and this role will be the