Uber

The Applied AI team at Uber is seeking a Sr Staff ML Engineer to define the multi-year technical vision and architecture for foundation models powering discovery experiences across Mobility and Delivery. This role will focus on building a common semantic backbone for understanding users, places, merchants, items, and behavioral patterns, which will power personalization, search, agents, automation, and decision systems. The engineer will set long-term technical direction, drive alignment on strategy, and deliver measurable impact at global scale.

Manager II, Science - Earner (Economics) at Uber. This role involves leading a team of scientists to develop and implement ML solutions for enhancing the earner experience, refining ambiguous questions, developing experimental designs, and ensuring data governance. The focus is on complex product and lifecycle analysis, experimentation, measurement foundations, and modeling within the earner journey.