Machine Learning Engineer II, Pricing

Overview

Uber's Marketplace is at the heart of Uber's business. The Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions per second. They present opportunities to executive stakeholders and collaborate with senior engineers to accelerate career growth and learn from experienced technical leaders.

We are looking for exceptional ML engineers with a track record of extraordinary impact and a passion for building large-scale systems that optimize multi-sided real-time marketplaces. You will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will collaborate with engineers, product managers, and scientists to set the team s technical direction and tackle Uber s most challenging business problems to provide earnings opportunities for millions of drivers worldwide.

• Design, develop, and product ionize end-to-end ML solutions for large-scale distributed systems serving billions of trips
• Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
• Partner with senior engineers to plan the scope and execution of projects and mentor junior team members on design and implementation
• Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

• Ph.D., M.S. or Bachelor s degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
• 2+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
• Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
• Familiarity with modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization), with demonstrated ability to deepen expertise

• Experience in translating ambiguous business problems into technical solutions in a structured and principled way
• Strong communication skills, including through documentation and design discussions
• Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Experience in reinforcement learning and causal machine learning

For New York, NY, San Francisco, CA, Seattle, WA, and Sunnyvale, CA-based roles:
The base salary range for this role is USD $171,000 per year - USD $190,000 per year. All US locations offer participation in Uber s bonus program and may be offered an equity award and other types of compensation. All full-time employees are eligible to participate in a 401(k) plan and receive various benefits. More details can be found at