Machine Learning Engineer II, Pricing

Machine Learning Engineer II, Pricing Department: Engineering Team: Machine Learning Location: New York, United States Type: Full-Time **About the Role** Uber’s Marketplace is at the heart of Uber’s business and 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 on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders. We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, 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 work with engineers, product managers, and scientists to set the team’s technical direction and solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide. **What You Will Do** - Design, develop, and productionize 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 **Basic Qualifications** - Ph.D., M.S. or Bachelor's degree in Computer Science, Ma