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Staff ML Engineer -- Pricing and Incentives

Machine Learning, Engineering
Palo Alto, California |
San Francisco, California

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.

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please let us know by completing this form.