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Uber

Machine Learning Engineer II

Uber
United States · Full-time · Entry

The Marketplace Signals team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.

What You'll Do

  • Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).
  • Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.
  • Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.
  • Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.

What You'll Need

  • Strong problem-solving skills, with expertise in ML methodologies
  • Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)
  • Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java

Why Join Us?

  • Work on high-impact machine learning problems that directly improve Uber's marketplace efficiency.
  • Influence key business levers that optimize Uber's pricing, matching, and rider/driver experience.
  • Build centralized marketplace signals that reduce redundancy and improve operational efficiency.
  • Join a high-caliber, innovative team tackling some of the hardest ML challenges in the industry.

If you're passionate about using ML to optimize real-world systems at a massive scale, we'd love to hear from you!

For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Key Skills

Ranked by relevance

san machine learning deep learning tensorflow pytorch python spark java sql
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Posted
Jul 09, 2025
Type
Full-time
Level
Entry
Location
Seattle
Company
Uber

Industries

Internet Marketplace Platforms

Categories

Engineering Information Technology

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