Staff Machine Learning Engineer - Delivery Courier Pricing
Actively Hiring
Full-time $232k - $258k Posted 6 months ago
Role overview
- check_circle Lead the design and implementation of advanced ML systems for courier pricing algorithms serving millions of couriers
- check_circle Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
- check_circle Build scalable ML architecture and feature management systems supporting Courier Pricing and broader Marketplace teams
- check_circle Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
- check_circle Establish ML engineering best practices, monitoring, and operational excellence across the organization
- check_circle Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
- check_circle Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research
- check_circle Work with Platform Engineering teams to ensure ML systems meet reliability and performance standards
- check_circle Influence technical roadmaps across multiple teams through technical leadership and strategic thinking
- check_circle Mentor and grow senior ML engineers, establishing technical standards and engineering culture
- check_circle Lead technical discussions and architecture reviews for complex ML systems
Basic qualifications
- Bachelors (or higher) in Computer Science, Machine Learning, Operations Research, or related quantitative field
- 7+ years of experience building and deploying ML models in large-scale production environments
- Expert-level proficiency in modern ML frameworks and distributed computing platforms
- 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
- Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
Preferred qualifications
- 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
Tags & Focus Areas
Fulltime Machine Learning Ai
About Uber
About the role: Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber. About the Team: Founded in August 2014, Uber Eats has become the largest food delivery app globally, and is the fastest growing food delivery platform in the world. We have doubled our gross bookings in just over the last year! Our team's work at Uber Eats directly impac...