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Senior Machine Learning Engineer - Earner Incentive

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Uber

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Location:
United States , Seattle ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

202000.00 - 224000.00 USD / Year
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Job Description:

Uber’s Marketplace is at the core of the business. The Earner Incentive team in Marketplace builds products and systems that empower drivers through targeted incentives, creating a more balanced and efficient marketplace while enhancing engagement and experience. The team owns the end-to-end incentive lifecycle, from ML-driven incentive generation to scalable online serving, powered by large-scale machine learning, optimization, and experimentation systems.

Job Responsibility:

  • Design, develop, productionize, and operate end-to-end ML solutions and data pipelines for large-scale systems that power driver incentives
  • Develop and apply advanced ML and optimization techniques to design incentive mechanisms for online marketplaces
  • Build deep domain expertise in incentives, pricing, and marketplace dynamics, and understand how these systems interact with Operations
  • Help set the team’s technical direction and drive execution in partnership with technical leads
  • Collaborate closely with engineers, product managers, scientists, and Operations to drive clarity, alignment, and delivery of high-impact solutions
  • Own projects end-to-end, from ideation and design through production rollout and iteration, and drive measurable business impact across teams

Requirements:

  • Ph.D., M.S., or Bachelor’s degree in Computer Science, Statistics, Mathematics, Machine Learning, Operations Research, or a related field, or equivalent practical experience with demonstrated impact
  • 5+ years of experience across the end-to-end ML lifecycle, including data analysis, feature engineering, model development, deployment, monitoring, and iteration in large-scale production systems
  • Proven ability to deliver measurable business impact and strong understanding of MLOps best practices
  • Strong understanding of a broad range of ML and statistical techniques, including deep learning (e.g., multi-task learning, transformers), tree-based models, and classical approaches
  • Proficiency in at least one production language (Python, Scala, Java, or Go) and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Solid software engineering skills, including system design, writing and reviewing production-quality code, testing, and operating ML systems in production
  • Strong ownership, learning mindset, collaboration and communication skills
  • able to work independently and effectively in cross-functional teams

Nice to have:

  • Experience developing and deploying pricing, matching, or incentive algorithms for two-sided marketplaces, with strong product intuition and system-level thinking
  • Experience with multi-armed bandits, reinforcement learning, and causal ML, including applying these methods in production systems
  • Familiarity with large-scale data and ML infrastructure (e.g. Spark, Flink), and batch or real-time data processing systems
  • Strong communication and leadership skills, with the ability to lead initiatives, prototype quickly, drive alignment, and collaborate effectively with cross-functional partners
  • Experience leading complex technical projects, influencing scope, technical direction, and execution across multiple engineers or teams
  • Ability to translate ambiguous business problems into clear, actionable problem statements, define success metrics, and drive execution through well-reasoned trade-offs
  • Demonstrated technical leadership, such as mentoring engineers, leading cross-functional efforts, or shaping ML / optimization strategy
  • Experience designing, running and analyzing large-scale online experiments to prove impact, interpret results, guide decision-making, and translate insights into concrete product or system changes
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:
March 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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