What are the responsibilities and job description for the 2025 PhD Software Engineer Intern (Marketplace Signals), United States position at Uber Corporate?
Job Details
Job Description
We're looking for PhD candidates in the machine learning and optimization domain to intern on our Marketplace Signals 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 Marketplace Signals team at Uber plays a crucial role in developing and optimizing algorithms and systems that power marketplace decisions across the company. You will work on complex problems, leveraging data and build ML algorithms to ensure an efficient and reliable marketplace. The team is broadly part of the Marketplace (PIMS) org, a central pillar to Uber's core technology which includes pricing, incentives/investments, matching, surge, etc. As the key brain of the company, we manage the complex dynamics of supply and demand, optimize dispatching algorithms, and continuously innovate to enhance the overall user experience for both riders and drivers. Improvements in these systems increase revenue in the hundreds of millions of dollars, and decrease wasted time of drivers and users. Your contributions will directly impact the experience of millions of users worldwide.
What You'll Do
For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
For all US locations, you will also be eligible for various benefits.
We're looking for PhD candidates in the machine learning and optimization domain to intern on our Marketplace Signals 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 Marketplace Signals team at Uber plays a crucial role in developing and optimizing algorithms and systems that power marketplace decisions across the company. You will work on complex problems, leveraging data and build ML algorithms to ensure an efficient and reliable marketplace. The team is broadly part of the Marketplace (PIMS) org, a central pillar to Uber's core technology which includes pricing, incentives/investments, matching, surge, etc. As the key brain of the company, we manage the complex dynamics of supply and demand, optimize dispatching algorithms, and continuously innovate to enhance the overall user experience for both riders and drivers. Improvements in these systems increase revenue in the hundreds of millions of dollars, and decrease wasted time of drivers and users. Your contributions will directly impact the experience of millions of users worldwide.
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 to make Uber better for our customers
- Currently enrolled in a Ph.D. program studying machine learning, data mining, artificial intelligence, constrained optimization, statistics, 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 C , Java, Python, or Go
- 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
- Proven experience with Reinforcement Learning (RL), including designing, implementing, and optimizing RL algorithms for real-world applications
- Experience presenting at industry recognized academic conferences and a good publishing record
For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
For Seattle, WA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
For all US locations, you will also be eligible for various benefits.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $67
