About the Role
The mission of the Surge team is to maintain overall marketplace reliability by balancing supply/demand in real-time through dynamic pricing. We build scalable real-time systems to understand the state of the market, forecast future demand, make predictions using ML models, solve network optimization programs, and eventually make pricing decisions for each rider session.
Surge plays a critical role in service of Uber’s mission to make transport accessible. We generate billions of dollars in annual gross bookings for the company by optimizing network efficiency and make a significant contribution to driver earnings. In addition to pricing, the signals we generate are some of the most important features used in practically every optimization/ML system across Uber. Although we are a backend team, what we do has an outsized impact on our riders because prices and reliability are two of the most important elements of customer experience.
You will be working with an interdisciplinary team of engineers, economists, and operations researchers to develop the next generation of dynamic pricing algorithms for Uber.
What the Candidate Will Do
- Build statistical, optimization, and machine learning models for a range of applications in the pricing algorithms space.
- Implement their ideas in production systems
- Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
- Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
Basic Qualifications
- Ph.D., M.S. or Bachelors degree in Machine Learning, Operations Research, or other quantitative fields.
- Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
- Ability to model complex real-world problems using pragmatic mathematical formulations.
- Ability to use Python to work efficiently at scale with large data sets.
Preferred Qualifications
- Experience in algorithm development and prototyping.
- 3+ years of industry experience as an Applied Scientist or Machine Learning Engineer.
- Experience in pricing optimization
- Experience with productionizing algorithms for real-time systems.
- Well-honed communication and presentation skills.
- Knowledge of experimental design and analysis.
For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.
You will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
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.
Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
