Uber
AI

Staff Machine Learning Engineer Delivery Courier Pricing

Uber · Sunnyvale, CA, US · $232k - $258k

Actively hiring Posted 3 days ago

Role overview

The Courier Pricing team sits within Uber's Delivery Marketplace org and plays a key role in shaping pricing across food, grocery, and other delivery verticals. We work closely with cross-functional teams to develop scalable pricing products that keep our marketplace efficient, reliable, and ready to grow. As a Staff Machine Learning Engineer, you'll build a world-class pricing system that efficiently prices every offer made to Uber's delivery partners-impacting hundreds of millions of consumers and millions of merchants worldwide.

*What You Will Do

Technical Leadership & Innovation**

  • Lead the design and implementation of advanced ML systems for courier pricing algorithms serving millions of couriers
  • Own end-to-end ML model lifecycle from research through production deployment and continuous optimization

What we're looking for

  • Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, and Algorithmic Game Theory
  • Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
  • Marketplace or two-sided platform ML experience with understanding of supply-demand dynamics and pricing mechanisms
  • Publications or patents in applied machine learning, particularly in areas relevant to optimization, pricing, or marketplace dynamics
  • Experience with causal inference methodologies and their application to business problems with network effects
  • Reinforcement learning experience in production environments with long-term optimization and strategic agent considerations
  • Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
  • Experience with real-time ML systems requiring low-latency inference and high-throughput model serving Background in economics, operations research, or related quantitative disciplines with application to marketplace problems

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Tags & focus areas

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Fulltime Machine Learning Ai