Uber - Sunnyvale, CA
posted about 2 months ago
The Sr Machine Learning Engineer position at Uber involves working on multiple teams focused on enhancing the company's marketplace through advanced machine learning and optimization techniques. The role is pivotal in the Coordinated Structural Pricing team, which is dedicated to setting rider and driver prices to maintain marketplace balance. This team is engaged in developing offline models that simulate and optimize pricing levels to foster growth in trips and gross bookings while ensuring marketplace reliability and venture capital neutrality. A significant project currently underway is the development of a new pricing and simulation technology called Pricer-Planner, which explores various simulation methodologies, including both machine learning-driven and structural economics-driven approaches. Additionally, the Marketplace Intelligence team plays a crucial role in Uber's core business by aiming to improve customer experience and reduce churn through intelligent solutions. This team is tasked with leveraging machine learning, data science, and economic principles to create scalable platforms that enhance Uber's impact on the transportation industry. The Sr Machine Learning Engineer will be responsible for driving high-impact projects that optimize consumer marketplace experiences using advanced optimization techniques, machine learning, and causal inference. In this role, the candidate will design and build machine learning models integrated with optimization engines, ensuring these models are production-ready for real-world applications. The engineer will also review code and designs from teammates, providing constructive feedback to enhance team performance. Collaboration with product and cross-functional teams will be essential to brainstorm innovative solutions and iterate on product development.