We're looking for PhD candidates in the machine learning and optimization domain to intern on the Delivery Marketplace and Feed Ranking and Personalization teams 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 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

This role will collaborate with the Delivery Marketplace (Pricing, Logistics) and UberEats Feed Ranking & Personalization teams, which develop core technologies for Uber's mobility and delivery businesses. These teams work on transformative products, from optimizing job-earner matching in delivery to enabling shared rides and integrating autonomous vehicles into Uber's platform. Our organization consists of talented engineers and scientists pioneering advancements in reinforcement learning, routing, ETA estimation, matching, pricing, ranking, and geo-search algorithms at a global scale. By leveraging data, we apply cutting-edge machine learning and optimization techniques to drive better outcomes for our users.

What You'll Do

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

• Develop novel algorithms that use Uber data at global scale

• Thrive in an environment with ambiguous product requirements

• Collaborate closely with product managers and data scientists

• Be motivated to independently own and drive projects forward

• Have a passion to make Uber better for our customers

Basic Qualifications

• Currently enrolled in a Ph.D. program studying computer science, machine learning, reinforcement learning, or a related quantitative field

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

• Ability to communicate effectively with both technical and business partners

• Superb coding ability in at least one language, Python preferred

• Familiarity with at least one ML framework, PyTorch preferred

Preferred Qualifications

• Substantial contributions to at least one high impact AI project, especially in the Reinforcement Learning domain

• Proficiency in Python, Pytorch, Ray, and Spark, familiarity with the SOTA in Transformer architectures and GPU optimization

• Skilled at using data both as a problem solving tool and as a medium for communication

• Ability to go from zero to one, persistent in the face of technical challenges, finds joy in their work

For San Francisco, 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