Uber's Marketplace Engineering team creates the technology behind our ridesharing marketplace by connecting riders with drivers at the push of a button. Our solutions expand user access, deliver reliability, and provide more transportation choices to users across our global markets.
About the Role
The role will be within the pricing and incentives domain in Uber's marketplace team. The team charter spans incentive allocation and optimization to balance the market and optimize revenue, dynamic trip pricing based on marketplace conditions. The role will provide an opportunity to work on some of the most strategic marketplace problems at Uber scale that impact Uber's global business very directly.
What you'll do:

• Work with product, data science, and eng leadership to shape the technical roadmap and problem formulations for the team.
• Leverage algorithmic knowledge in machine learning/optimization/statistics to design robust approaches engineering solutions to positively impact Uber's business.
• Work with the team to productionize the solutions at scale.

Basic Qualifications

• BS/BE degree in Computer Science and related field
• 7 years of experience in leveraging machine learning/statistics/optimization to build models in production

Preferred Qualifications

• Master's in a relevant field (computer science, engineering, statistics, ML) or PhD
• Some experience in leading teams either as a tech lead or a manager
• Experience building algorithms with large scale data
• Track record of building large-scale, highly-available systems for both batch and streaming
• Deep domain expertise and are one of the recognized specialists in one or multiple areas like reinforcement learning, personalization, or deep learning.