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Staff Machine Learning Engineer - Delivery Marketplace

Uber

$223,000 - $248,000
Aug 26, 2025
Sunnyvale, CA, US
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Optimize real-time operations across Uber's Delivery Marketplace, improving efficiency and user experience

Requirements

  • PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 2-years full-time Software Engineering work experience OR 5-years full-time Software Engineering work experience
  • Experience with programming language (e.g. C, C++, Java, Python, or Go)
  • Experience with large-scale training using data structures and algorithms
  • Experience with modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
  • Experience with SQL and database systems such as Hive, Kafka, Cassandra, etc
  • Experience in the development, training, productionization and monitoring of ML solutions at scale
  • Experience in a technical leadership role and mentoring junior engineers
  • Experience in modern deep learning architectures and probabilistic models
  • Experience in optimization (RL / Bayes / Bandits) and online learning
  • Experience in causal inference/personalization/ranking

Responsibilities

  • Lead the design and development of machine learning solutions that optimize real-time operations across Uber's Delivery Marketplace
  • Build advanced ML models using techniques such as reinforcement learning, deep learning, and optimization methods to improve efficiency and the user experience
  • Lead and mentor a team of MLEs, providing technical leadership, setting the vision, and guiding the team through the end-to-end development process
  • Collaborate closely with cross-functional teams to define high-impact problems and develop solutions that improve operational efficiency while delivering magical user experiences
  • Solve complex, real-world problems using state-of-the-art forecasting, demand-supply models, and prediction models for food prep time, batching quality, and courier activity at restaurants
  • Balance business objectives and user experience by developing objective functions that optimize both business performance and user satisfaction

Other

  • 2-years full-time Software Engineering work experience OR 5-years full-time Software Engineering work experience
  • PhD or equivalent in Computer Science, Engineering, Mathematics or related field