Senior Machine Learning Engineer - Earner Incentive

Senior Machine Learning Engineer - Earner Incentive Department: Engineering Team: Machine Learning Location: San Francisco, United States Type: Full-Time **About the Role** Uber’s Marketplace is at the core of the business. The Earner Incentive team in Marketplace builds products and systems that empower drivers through targeted incentives, creating a more balanced and efficient marketplace while enhancing engagement and experience. The team owns the end-to-end incentive lifecycle, from ML-driven incentive generation to scalable online serving, answering questions such as _who, where, when, how, and how much, powered by large-scale machine learning, optimization, and experimentation systems_. These systems enable proactive, targeted incentives that shape supply, optimize earnings, and guide marketplace balance. We are seeking a Senior Machine Learning Engineer to design and scale the technical foundations behind Uber’s driver incentive systems. You will develop and productionize large-scale ML models and decision systems that power both scheduled and near real-time, intelligent incentive generation and delivery at Uber’s global scale. In this role, you will collaborate closely with engineers, product managers, operations, and scientists to set technical direction, make thoughtful trade-offs, and turn complex problems into reliable production systems. Your work will directly shape how incentives are designed and delivered at scale, enhancing marketplace efficiency and reliability, and empowering earning opportunities for millions of drivers worldwide. **What the Candidate Will Do** - Design, develop, productionize, and operate end-to-end ML solutions and data pipelines for large-scale systems that power driver incentives. - Develop and apply advanced ML and optimization techniques to design incentive mechanisms for online marketplaces, improving marketplace efficiency and reliability while enabling earning opportunities for millions of drivers. - Build deep domain expertise in incentives, pricing, and marketplace dynamics, and understand how these systems interact with Operations. Translate business requirements