Uber

Machine Learning Engineer II

Seattle, Washington

Found: February 15, 2026

This role is based in Seattle, Washington.

Compensation:

USD$171,000 - USD$190,000 per year

Responsibilities:

  • Leading the design and implementation of ML-driven solutions to meet business requirements.
  • Managing end-to-end project execution, from scoping and offline evaluation to experimentation, production, and post-launch monitoring.
  • Developing and refining ML models and optimization algorithms to improve simulation accuracy and overall performance.
  • Collaborating with cross-functional teams, including product, operations, and science partners.

Basic Qualifications:

  • 2+ years of experience in an ML/optimization role, or a PhD in a relevant field (CS, OR, EE, Statistics, etc.)
  • Expertise in machine learning and optimization algorithms
  • Experience with ML frameworks
  • Proficiency in at least one coding language such as Python, Go, or Java
  • Strong communication skills and ability to work effectively with cross-functional partners
  • Strong sense of ownership to drive projects end-to-end

Preferred Qualifications:

  • Experience in translating ambiguous business problems into structured, principled technical solutions
  • Experience in developing and deploying optimization algorithms in production
  • Experience in causal inference and experimental design
  • Experience in evaluating ML models in a production environment

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