We're looking for PhD candidates in the machine learning and optimization domain to intern on our Coordinated Structural Pricing team during summer 2025 (12 weeks). You will be embedded in an engineering team and work closely with other specialists, data scientists, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth independently, under the supervision of an experienced engineer on that team.

About the Role

At Uber, we work on many ambitious engineering products covering many lines of business as well as the underlying platform technologies that power those businesses. We foster growth and increase profitability of Uber by pushing the frontiers of machine learning, constrained optimization, statistics, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry.

As a PhD software engineer intern, you will have a lot of opportunities to work with product managers, data scientists and, of course, engineers from different teams. You will have an opportunity to learn how to iterate over a product for greater success while demonstrating your area of expertise (machine learning, statistics, constrained optimization, distributed system, etc.). This is a unique opportunity to grow your skills with real-world experience and do highly impactful, yet fun work at the same time. It is an ambitious yet rewarding job!

About the Team

The Coordinated Structural Pricing team is at the center of managing Uber's pricing and marketplace balance all over the world. Our team is responsible for controlling the balance of Mobility pricing in order to aggressively achieve growth, while maintaining a healthy marketplace. We achieve this goal by employing a variety of techniques, including machine learning, experimentation and causal-ML, economic modeling, and simulation and optimization. Our problem space sits at the intersection of machine learning and economics, and is a unique opportunity to leverage rich data to build high-quality simulations and do sophisticated policy optimizations. We are actively working on a new pricing and simulation tech focused on highly accurate forecasting and exploring many different avenues for simulation, both ML-driven and structural economics-driven. We are looking for candidates who are proficient in coding and building numerical models and simulation, as well as those who have prior experience in one or more of the areas: experimentation and causal ML, economic modeling, supervised machine learning, and reinforcement learning.

What You'll Do

• Drive exciting, ambitious, previously unsolved projects from end to end

• Thrive in ambiguous product requirements

• Collaborate with product managers and data scientists closely

• Make data-driven decisions, with exceptional execution

• Be motivated to own projects and push them forward with independence

• Most importantly, have a passion for making Uber better for our customers

Basic Qualifications

• Currently enrolled in a Ph.D. program studying machine learning, data mining, artificial intelligence, constrained optimization, statistics, economics, or a related quantitative field

• Candidates must have at least one semester/quarter of their education left following the internship

• Knowledge of underlying technical foundations of statistics, machine learning, optimization, or systems, etc.

• Experience in one or more object-oriented languages, including Python, Go, Java, or C+ Preferred Qualifications

• Ability to communicate effectively with both technical and business partners

• Experience in simplifying/converting business problems into technical problems

• Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation

• Experience presenting at industry recognized academic conferences and a good publishing record

For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. You will also be eligible for various 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform