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2025 PhD Software Engineer Intern (Delivery Marketplace & Maps), United States

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Uber

1mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • San Francisco

AI generated summary

  • You must be a Ph.D. student in a quantitative field with experience in machine learning, programming (C++, Java, Python, Go), and have a strong research and presentation background.
  • You will lead projects, navigate ambiguous requirements, collaborate with teams, make data-driven decisions, and drive initiatives independently to enhance customer experience.

Requirements

  • 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
  • Experience presenting at industry recognized academic conferences and a good publishing record

Responsibilities

  • 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

FAQs

What is the duration of the PhD Software Engineer Internship?

The internship lasts for 12 weeks during the summer of 2025.

What qualifications are required to apply for this internship?

Candidates must be currently enrolled in a Ph.D. program studying machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field, and must have at least one semester/quarter of their education left following the internship.

What kind of projects will I work on as a PhD intern?

As a PhD intern, you will drive exciting, ambitious, and previously unsolved projects from end to end, collaborating closely with product managers and data scientists.

What technical skills are necessary for this role?

Knowledge of the underlying technical foundations of statistics, machine learning, optimization, or systems is required, along with experience in one or more object-oriented languages, including C++, Java, Python, or Go.

Will I have the opportunity to work with cross-functional teams?

Yes, you will collaborate with product managers, data scientists, and engineers from different teams.

What is the focus of the Delivery Marketplace & Maps organization at Uber?

The organization focuses on building core technology across mobility and delivery lines of business, working on projects related to optimal job matching, shared rides, and autonomous vehicles.

Is experience presenting at academic conferences preferred for this position?

Yes, experience presenting at industry-recognized academic conferences and a good publishing record is preferred.

Do I need to have previous work experience in the industry to apply for this internship?

Previous work experience is not explicitly required, but a research mentality with a bias towards action is beneficial.

What type of work environment does this internship offer?

The internship offers a collaborative environment where you'll work with a talented team of engineers and scientists on innovative projects.

Will I have independent ownership of projects during the internship?

Yes, you are expected to be motivated to own projects and push them forward with independence.

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Uber

We reimagine the way the world moves for the better.

Technology
Industry
10,001+
Employees
2009
Founded Year

Mission & Purpose

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

Culture & Values

  • Go get it

    Bring the mindset of a champion. Our ambition is what drives us to achieve our mission. How we define a champion mindset isn’t based on how we perform on our best days, it’s how we respond on the worst days. We hustle, embrace the grind, overcome adversity, and play to win for the people we serve. Because it matters.

  • Trip obsessed

    Make magic in the marketplace. The trip is where the marketplace comes to life. The earner, rider, eater, carrier and merchant are the people who connect in our marketplace - and we see every side. This requires judgment to make difficult trade-offs, blending algorithms with human ingenuity, and the ability to create simplicity from complexity. When we get the balance right for everyone, Uber magic happens.

  • Build with heart

    We care. We work at Uber because our products profoundly affect lives and we care deeply about our impact. Putting ourselves in the shoes of the people who connect in our marketplace helps us build better products that positively impact our communities and partners. Our care drives us to perfect our craft.

  • Stand for safety

    Safety never stops. We embed safety into everything we do. Our relentless pursuit to make Uber safer for everyone using our platform will continue to make us an industry leader for safety. We know the work of safety never stops, yet we can and will challenge ourselves to always be better for the communities we serve.

  • See the forest and the trees

    Know the details that matter. Building for the intersection of the physical and digital worlds at global scale requires seeing the big picture and the details. Knowing the important details can change the approach, and small improvements can compound into enormous impact over time.

  • One Uber

    Bet on something bigger. It’s powerful to be a part of something bigger than any one of us, or any one team. That’s why we work together to do what’s best for Uber, not the individual or team. We actively support our teammates, and they support us - especially when we hit the inevitable bumps in the road. We say what we mean, disagree and commit, and celebrate our progress, together.

  • Great minds don't think alike

    Diversity makes us stronger. We seek out diversity. Diversity of ideas. Identity. Ethnicity. Experience. Education. The more diverse we become, the more we can adapt and ultimately achieve our mission. When we reflect the incredible diversity of the people who connect on our platform, we make better decisions that benefit the world.

Benefits

  • Comprehensive Healthcare

  • Flexible Work

  • Uniquely Uber

  • Health & Wellness