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Uber Logo Uber · IT - Software Development

Sr Machine Learning Engineer, Pricing

United States, New York Employment contract 202000.00 - 224000.00 USD / Year · Job Posted April 24, 2026
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Job Description

Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.

Job Responsibility

  • Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
  • Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
  • Collaborate with the team leads to set the team's technical direction and own its implementation, providing technical mentorship to junior engineers
  • Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

Requirements

  • Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
  • 4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
  • Proficiency in programming languages such as Python, Scala, Java, or Go
  • Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
  • Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
  • Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)

Nice to have

  • Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
  • Experience leading complex technical projects and influencing the scope and output of others
  • Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects
  • Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners
  • Experience in reinforcement learning and causal machine learning

What we offer

  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible to participate in a 401(k) plan
  • Eligible for various benefits
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