In this role, you'll apply advanced machine learning technologies—including deep learning, generative AI for personalized communications, causal modeling, and reinforcement learning—to optimize pricing strategies and promotional systems. You will also work with serving infrastructure and product teams to design and evolve the rider pricing and promotions systems to support new product and algorithm evolutions, promotion use cases and drive Uber’s top-line rider and revenue growth.

Manage a group of SWEs and MLEs working on rider pricing and promotions to develop and implement new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs.

Improve the performance of models and algorithms powering pricing algorithms and promotion targeting.

Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.

Mentor more junior team members by role modeling ML best practices. Collaborate with cross-functional teams to ensure alignment and drive Uber’s ridership and revenue growth. Help Uber’s end-users by making mobility options accessible and affordable.