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Staff Machine Learning Engineer - Mobility Verticals

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Uber

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Location:
United States , Seattle, Washington

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

232000.00 - 258000.00 USD / Year
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Job Description:

Uber is looking for an exceptional ML engineer to join our Mobility Marketplace Vertical team, where you'll tackle some of the most challenging problems in real-time marketplace optimization at unprecedented scale. You will develop and deploy sophisticated machine learning systems that power demand forecasting, supply/demand balancing, driver earnings prediction, and matching algorithms across our specialized mobility products: Airport, Reserve, and Rideshare.

Job Responsibility:

  • Lead technical strategy across 1+ year time horizons, setting the vision for vertical-specific marketplace optimization
  • Design and build end-to-end ML solutions for demand forecasting, supply balancing, and matching optimization in large-scale distributed systems
  • Develop sophisticated forecasting and matching approaches that combine machine learning with mathematical optimization and game theory
  • Collaborate closely with cross-functional teams of engineers, data scientists, and product managers to deliver high-impact business solutions across three critical verticals: Airport Marketplace: Demand forecasting, supply/demand balancing, driver earnings prediction, and matching algorithms
  • Reserve: Scheduled ride demand forecasting, supply balancing, driver price surge, and matching optimization
  • Shared Rides: Shared ride marketplace optimization including Rider/Driver behavior, pricing, pooling algorithms and route optimization

Requirements:

  • Ph.D., M.S. or Bachelors degree in Computer Science, Machine Learning, Operations Research or a related technical field
  • Minimum 6 years of experience leading deployment of ML models in large-scale production environments
  • Proficiency in one or more programming languages such as Python, Scala, Java or Go
  • Experience with distributed data systems such as Spark, Ray, and real-time processing frameworks
  • Expertise in developing demand forecasting, matching algorithms, or pricing systems for multi-sided marketplaces
  • Deep understanding of modern ML techniques, including deep neural networks, time series forecasting, and mathematical optimization

Nice to have:

  • Experience developing multi-year technical strategies and roadmaps for ML systems
  • Ability to translate business problems into technical solutions with measurable impact
  • Excellent communication and collaboration skills across engineering, product, and operations teams
  • Expertise in reinforcement learning, causal machine learning, or multi-objective optimization
  • Experience with online experimentation (A/B testing) and causal inference methodologies
What we offer:
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • All full-time employees are eligible to participate in a 401(k) plan
  • Eligible for various benefits

Additional Information:

Job Posted:
April 11, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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