Staff Machine Learning Engineer, Money (Founding ML Lead)

• Lead the design, development, and deployment of production-grade ML systems that drive financial decisioning across DoorDash’s Money ecosystem
• Own ML-driven underwriting models for merchant cash advances, partnering closely with Product, Risk, Data Science, and Engineering to improve approval rates, loss performance, and capital efficiency
• Broaden scope to support additional initiatives such as banking products, payouts, and consumer payments optimization
• Set best practices for model development, deployment, monitoring, and governance across the Money org
• Influence architecture, strategy, and execution beyond a single team
• Help shape the future of Money ML at DoorDash, with the opportunity to mentor others and grow a team over time

• 8+ years of industry experience building and deploying production-scale ML systems
• Direct experience with credit, lending, or cash advance underwriting, including risk modeling and decisioning
• Strong foundation in statistics, probability, and machine learning, and know how to apply them to noisy, real-world financial data
• Fluent in Python (and/or Java, Scala, or C++) and experienced with ML frameworks such as XGBoost, PyTorch, TensorFlow, or similar
• Designed and operated ML systems in production, including monitoring, retraining, and model governance
• Can lead complex technical projects end-to-end, influencing stakeholders across multiple orgs
• Communicate clearly and effectively with technical and non-technical audiences
• Excited about building something new and operating with ambiguity at high ownership

Experience in fintech, payments, banking, or marketplace risk systems is a strong plus

• 401(k) plan with employer matching
• 16 weeks of paid parental leave
• Wellness benefits
• Commuter benefits match
• Paid time off
• Paid sick leave
• Medical, dental, and vision benefits
• 11 paid holidays
• Disability and basic life insurance
• Family-forming assistance
• Mental health program
• Equity grants