Sr Machine Learning Engineer - Delivery Courier Pricing
Job in
Sunnyvale, Santa Clara County, California, 94087, USA
Listing for:
Uber
Full Time
position
Listed on 2026-01-12
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 257000 USD Yearly
USD
257000.00
YEAR
Job Description & How to Apply Below
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 couriersOwn end-to-end ML model lifecycle from research through production deployment and continuous optimizationPlatform & Architecture
Build scalable ML architecture and feature management systems supporting Courier Pricing and broader Marketplace teamsDesign experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologiesEstablish ML engineering best practices, monitoring, and operational excellence across the organizationCreate platform abstractions that enable other ML engineers to iterate faster on pricing algorithmsCross-Functional Impact
Collaborate with Marketplace Engineering and Science teams to product ionize cutting-edge ML researchWork with Platform Engineering teams to ensure ML systems meet reliability and performance standardsInfluence technical roadmaps across multiple teams through technical leadership and strategic thinkingTeam DevelopmentMentor and grow senior ML engineers, establishing technical standards and engineering cultureLead technical discussions and architecture reviews for complex ML systemsBasic Qualifications
PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master's degree with 12+ years of industry experience10+ years of experience building and deploying ML models in large-scale production environmentsExpert-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 TheoryProven track record of leading complex ML projects from research through production with significant measurable business impactStrong programming skills in Python, Java, or Go with experience building production ML systemsExperience 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 initiativesPreferred Qualifications
Marketplace or two-sided platform ML experience with understanding of supply-demand dynamics and pricing mechanismsPublications or patents in applied machine learning, particularly in areas relevant to optimization, pricing, or marketplace dynamicsExperience with causal inference methodologies and their application to business problems with network effectsReinforcement learning experience in production environments with long-term optimization and strategic agent considerationsTechnical leadership experience including mentoring senior engineers and driving cross-team technical initiativesExperience with real-time ML systems requiring low-latency inference and high-throughput model servingBackground in economics, operations research, or related quantitative disciplines with application to marketplace problemsFor 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 details can be found at the following link
Uber's…
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