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2024 PhD Software Engineer Intern (Machine Learning), United States

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20d ago

🚀 Summer Internship

San Francisco

⌛ Closed
Applications are closed

Summer Internship

Software Engineering•San Francisco


We’re looking for PhD candidates in the machine learning and optimization domain to intern during summer 2024 (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.

  1. 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. 
  2. 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 Teams:

  • The Uber Risk and Trust Identity engineering team is tackling challenges related to fraud detection, account security, and identity verification. Our work is crucial in maintaining the integrity of Uber's platform. The team employs advanced machine learning, knowledge graph, and similarity search to monitor transactions, detect unusual patterns, and implement robust verification methods.
  • The Applied AI org collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Computer Vision, ML Optimization, Geospatial AI, Personalization, and Generative AI.


  • Basic Qualifications:
  • Currently enrolled in a Ph.D. program studying machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field.
  • Knowledge of underlying technical foundations of statistics, machine learning, optimization, and systems etc.
  • Experience in one or more object-oriented languages, including C++, Java, Python, or Go.
  • 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.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • 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.


Work type

Full time

Work mode



San Francisco