Sr Machine Learning Engineer - Delivery Courier Pricing

Position: Sr Staff Machine Learning Engineer - Delivery Courier Pricing
About the Role

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 Sr 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

Platform & Architecture

• Build scalable ML architecture and feature management systems supporting Courier Pricing and broader Marketplace teams

• Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies

• Establish ML engineering best practices, monitoring, and operational excellence across the organization

• Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms

Cross-Functional Impact

• Collaborate with Marketplace Engineering and Science teams to product ionize cutting-edge ML research

• Work with Platform Engineering teams to ensure ML systems meet reliability and performance standards

• Influence technical roadmaps across multiple teams through technical leadership and strategic thinking

Team Development

• Mentor and grow senior ML engineers, establishing technical standards and engineering culture

• Lead technical discussions and architecture reviews for complex ML systems

Basic Qualifications

• PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master's degree with 12+ years of industry experience

• 10+ years of experience building and deploying ML models in large-scale production environments

• Expert-level proficiency in modern ML frameworks (Tensor Flow, PyTorch) and distributed computing platforms (Spark)

• Deep expertise across multiple areas including:
Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, and Algorithmic Game Theory

• Proven track record of leading complex ML projects from research through production with significant measurable business impact

• Strong programming skills in Python, Java, or Go with experience building production ML systems

• Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)

• Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives

Preferred Qualifications

• 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 $257,000 per year - USD $285,500 per year.

For Sunnyvale, CA-based roles:
The base salary range for this role is USD $257,000 per year - USD $285,500 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. You will also be eligible for various benefits. More…