Rider Experience at Uber drives and enables the critical trip booking funnel within the Rides app, contributing significantly to business growth. The team explores personalization algorithmic and UX improvements in product recommendations and merchandising to help millions of riders find and discover the right products every hour to move around the world. As a Sr/Staff ML Engineer, you will work on defining and driving ML solutions for key strategic problems in product recommendations and merchandising, helping riders find and complete rides with the right products while understanding their ride context and modeling their intent. You'll provide technical leadership to a passionate, experienced, and diverse engineering team, manage project priorities, and design, develop, test, deploy, and maintain ML solutions. The role requires strong problem-solving skills, expertise in ML methodologies, and experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems. You'll also partner with product owners, data scientists, and business teams to translate key insights and business opportunities into technical solutions. This role offers the opportunity to work on high-impact projects that shape the future of Uber's rider experience while collaborating with talented professionals across various disciplines.