The Location Search & Semantics team at Uber is seeking an Engineering Manager II to lead their Map Search initiatives. This role involves leading a team that builds and maintains cutting-edge Machine Learning systems to power Map Search & Recommendation at scale across Uber apps, including Rides, Eats, and Connect. The team leverages large language models and deep learning techniques to serve relevant places and address recommendations to users.
As Engineering Manager, you'll be at the forefront of solving challenging ML problems at scale, working with some of the industry's best minds to create magical map search experiences for riders booking trips and customers ordering food. The role requires strong technical leadership in machine learning, particularly in NLP and Search & Recommendation systems, combined with excellent people management skills.
The position offers competitive compensation, with base salary ranging from $218,000 to $242,000 USD for US locations, and includes participation in Uber's bonus program and potential equity awards. The role operates in a hybrid work model, requiring at least 50% office presence to maintain Uber's collaborative culture.
This is an opportunity to make a significant impact on Uber's core search functionality, working with cutting-edge ML technologies while leading and developing a team of talented engineers. The role combines technical expertise with strategic leadership, requiring both deep ML knowledge and strong management capabilities.