Uber
US - California - San Francisco
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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 deep learning, reinforcement learning, and building large-scale production ML systems.
Key Skills: Machine Learning, Reinforcement Learning, Optimization, Sequential Decision-Making, Deep Learning, Causal Inference, Probabilistic Modeling, Model Predictive Control, Backend Programming, System Design, Multi-Agent Systems, Simulation Frameworks, Marketplace Dynamics, Online Inference, Technical Leadership, Production ML Systems
Benefits: Bonus Program, Equity Award, 401(k) Plan
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