Staff ML Engineer (Optimization) at Uber · San Francisco, CA · Joined
U
Staff ML Engineer (Optimization)
Uber · San Francisco, CA · Just now · 0 applicants
NewOn-siteFull-timeLead
Pay
$232k–$258kListed
Workplace
On-site
Job type
Full-time
Level
Lead
Team: Marketplace Matching · Source: jobright · Posted by joined-scrapper
About the role
Lead the design and production deployment of machine-learning and optimization systems for Uber's marketplace matching, balancing marketplace objectives and evaluating long-term effects.
What you’ll do
Lead design and production deployment of ML and optimization systems for matching
Balance marketplace objectives
Evaluate long-term effects of matching systems
Formulate ambiguous business problems as tractable ML problems
Drive projects from concept to production
What you’ll need
Bachelor's degree in CS, ML, Engineering, Math, Statistics or related field
8+ years industry experience in ML, or 6+ years with PhD
Experience building large-scale production ML systems including online inference
Deep expertise in modern ML including deep learning and reinforcement learning
Experience leading technically complex cross-functional initiatives
Experience with causal inference and rigorous evaluation of ML-driven policies
Original job description
Uber's Marketplace Matching team builds real-time systems that match riders and drivers across its two-sided marketplace. The Staff Machine Learning Engineer will lead the design and production deployment of machine-learning and optimization systems for matching, balancing marketplace objectives and evaluating long-term effects.Bachelor's degree in…