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Staff Machine Learning Engineer - Marketplace

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Uber

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Location:
United States , San Francisco ▼

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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:

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.

Job Responsibility:

  • 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

Requirements:

  • Ph.D. or M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields
  • 6+ years of industry experience in machine learning, including building and deploying ML models at scale
  • Experience in modern deep learning architectures and probabilistic modeling
  • Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
  • Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git
  • Advanced skills in the development and deployment of large-scale ML models and optimization algorithms
  • Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions

Nice to have:

  • Expertise in developing causal inference methodologies, experimental designs, and advanced analytical methods
  • Strong experience in building a wide range of models (e.g. causal inference, optimization, ML) for business applications
  • Experience in algorithm development and rapid prototyping
  • Design, develop, and operationalize econometric models to assess challenging causal problems such as product incrementality and long-term value
  • Propose, design, and analyze large-scale online experiments and interpret the results to draw actionable conclusions
  • Ability to drive clarity on the best modeling solution for a business objective
  • Collaborate with cross-functional teams across disciplines such as product, engineering, and operations to drive system development end-to-end from generating ideas to productionizing
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 (see link)

Additional Information:

Job Posted:
February 14, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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