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# Staff Machine Learning Engineer - Pricing

- **Company:** Uber
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $232,000 - $258,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Big Data, Convex Optimization, Distributed Systems, Game Theory, Python (Programming Language), Machine Learning, Scala (Programming Language), Reinforcement Learning, Real Time Systems, Apache Spark, Information Technology, Optimization Algorithms, Apache Flink, Machine Learning Operations, Golang, Microservices
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25303_2a2e5cac751011dc6dc9432219a5fe82

## About the Role

* Ph.D., M.S., or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or an equivalent technical background with exceptional demonstrated impact
 * 6+ years of experience leading development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (for example, 1M+ predictions/sec or 100M+ users), with a track record of strong business impact across multiple quarters
 * Proficiency in programming languages such as Python, Scala, Java, or Go
 * Experience with large-scale data systems (such as Spark and Ray), real-time processing (such as Flink), and microservices architectures
 * Experience across the ML lifecycle at scale, including development, training, productionization, and monitoring (offline pipelines to online serving and MLOps)
 * Experience building and deploying pricing algorithms for multi-sided real-time marketplaces involving strategic agent behavior
 * Deep understanding of modern ML algorithms (such as DNNs, multi-task models, and transformers) and mathematical optimization (such as multi-objective, LP, and convex optimization)
 * Preferred: reinforcement learning and causal machine learning proficiency

Technologies

 * Python, Scala, Java, Go
 * Spark, Ray, Flink
 * Microservices architectures, MLOps
 * DNNs, transformers

## Description

Uber's Dynamic Supply Pricing team builds the machine learning and pricing algorithms that power real-time driver pricing at marketplace scale. In this Staff Machine Learning Engineering role, you will set technical direction over a 1+ year horizon and deliver end-to-end ML solutions that support distributed systems handling billions of trips., * Own technical roadmap and strategy over the next 1+ year horizon, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence

 * Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
 * Create novel pricing approaches for online marketplaces that combine machine learning, algorithmic game theory, and optimization to improve earnings opportunities for millions of drivers
 * Partner with engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems, * Eligible to participate in Uber's bonus program (all US locations)
 * May be offered an equity award and other types of compensation
 * Eligible to participate in a 401(k) plan
 * Eligible for various benefits