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 goal of Marketplace Pricing & Incentives organization is to make Uber services trustable and affordable for our consumers (riders and eaters) while creating compelling earning opportunities for our earners (drivers and couriers) to foster the sustainable business of Uber. We are building the next generation of pricing, incentives, and matching platforms to power millions of bookings through Uber. We invest heavily in state-of-the-art optimization and machine learning algorithms, and advanced industry technologies to improve the efficiency and reliability of the Uber network, thus unlocking growth opportunities and driving profitability for the company. 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, similarity search to monitor transactions, detect unusual patterns, and implement robust verification methods. The Marketplace Logistics & Maps organization is responsible for building the core technology across mobility and delivery lines of business. These include a diverse set of transformational projects and impactful products ranging from finding the optimal match between jobs and earners in the delivery space to enabling shared rides in mobility as well as bringing autonomous vehicles into Uber platform. The organization is formed of talented teams of engineers and scientists working side by side on the state of the art innovations on routing, ETA, Matching objective function, and geo-search algorithms at global scale. To achieve these goals, we leverage big data tools and apply advanced machine learning models and signal processing techniques on time series of location data and sensor readings. This organization is also responsible for the experimentation platform that serves the entire Uber. 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 12-week software engineer intern role in the US. The intern will work on machine learning and optimization projects, collaborating with teams to drive ambitious projects and make data-driven decisions. Candidates should be enrolled in a PhD program in a relevant field and have experience in object-oriented languages.

2024 PhD Software Engineer Intern, United States

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