Senior Manager, ML Engineering - Marketplace Simulation & Planning

Senior Manager, ML Engineering - Marketplace Simulation & Planning Department: Engineering Team: Manager Location: New York, United States Type: Full-Time #### **About the Role** This role sits within Uber's Mobility Marketplace team, focusing on pricing and incentives. The team optimizes pricing and incentives to balance the market, maximize revenue, and adapt dynamic trip pricing to marketplace conditions. You'll work on some of Uber’s most strategic marketplace challenges at a global scale, directly impacting the business. #### **What You Will Do** - Build and scale a high-performing team by attracting top talent and refining team structure. Mentor and coach ICs and managers for both technical and leadership growth. - Lead ML modeling teams responsible for large-scale applied machine learning in forecasting and optimization. - Shape long-term product and technical vision for the mobility marketplace. - Collaborate cross-functionally with Data Science, Product, and Business to drive technical direction in systems and modeling frameworks. - Define and influence product strategy and roadmap in partnership with Product and Business teams. - Communicate vision effectively, representing engineering in leadership forums and strategic discussions. - Translate strategy into execution with practical quarterly OKRs. - Drive operational excellence by establishing metrics for product and engineering performance. #### **Job Requirements** - Collaborate with marketplace teams (e.g., rider pricing, matching) and cross-functional orgs (platform, earner teams). - Drive innovation and investigate open problems in marketplace optimization. - Present team initiatives in leadership forums. #### **Basic Qualifications** - MS/PhD in Computer Science or equivalent experience. - 10+ years of software development experience. - 3+ years of experience as a people manager. - Proven ability to work in and contribute to cross-functional teams. - Experience leading teams managing production optimization systems (e.g., recommendation, search). - Strong analytical skills. - Hands-on experience with ML and optimization systems. #### **Prefer