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.

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 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.

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.

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.

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward together.

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Uber

Uber is seeking PhD candidates for a summer 2024 internship in machine learning and optimization. Interns will tackle ambitious engineering projects, working closely with experienced teams to drive impactful solutions from conception to implementation. This role offers a unique chance to grow skills and contribute to Uber's innovative efforts in transportation.

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

Summary