ML Engineer — Dynamic Pricing

Uber·San Francisco, CA

Machine LearningSeniorFull-timeRemote
$185K-$300KPosted 3 months ago

About the Role

Uber is seeking an ML Engineer to work on dynamic pricing and marketplace optimization. You will build models that balance supply and demand in real-time across millions of rides and deliveries, optimizing for rider experience, driver earnings, and marketplace health.

Requirements

  • 4+ years of ML engineering experience
  • Experience with marketplace or pricing models
  • Strong skills in Python and production ML frameworks
  • Understanding of causal inference and experimentation
  • Experience with real-time prediction systems

Nice to Have

  • Experience with ride-sharing or delivery platforms
  • Background in operations research or optimization
  • Experience with reinforcement learning for sequential decisions
  • Knowledge of geospatial data and models

Benefits

RSU grants
Premium health benefits
Uber credits
Remote work flexibility
401(k) match
Learning budget

Skills

Pricing ModelsPythonReal-time MLCausal InferenceOptimizationMarketplace

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