Role overview
Uber's Delivery Marketplace is at the heart of Uber's Delivery business and the Logistics Prediction & Optimization team develops the ML models, OR algorithms, signals, and large-scale distributed systems that power real-time Eater Experience and real-time matching decisions for billions of trips. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations. The team regularly delivers $1B+ to Uber's revenue growth and $XX M in profits.
We are looking for exceptional Staff 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 matching algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with talented ML and BE 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 deliver a magical experience to users improving reliability of Uber Delivery trips.
What we're looking for
For New York, NY-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.