Staff Software Engineer - Engineer

Uber
US - California - San Francisco
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  • Job Type: Full time
  • 30+ days ago

Job Description

Lead the technical direction and development of real-time matching optimization and ML systems for Uber's global marketplace. Design decision policies and behavioral models to balance competing goals across riders, drivers, and the platform.

Requirements: Requires a Bachelor's degree in a quantitative field with 8+ years of industry experience in ML (or 6+ years with a PhD). Must have deep expertise in production ML systems, reinforcement learning, and the ability to lead complex cross-functional initiatives.

Key Skills: Machine Learning, Reinforcement Learning, Optimization, Deep Learning, Causal Inference, Sequential Decision-Making, Probabilistic Modeling, Model Predictive Control, Backend Programming, System Design, Marketplace Dynamics, Simulation Frameworks, Multi-Agent Systems, Online Inference, Technical Leadership, Mentoring

Benefits: Bonus Program, Equity Award, 401(k) Plan




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