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2025 PhD Software Engineer Intern (Trusted Identity), United States

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Uber

Feb 17

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Research & Development
    Software Engineering
  • Sunnyvale

Requirements

  • Currently enrolled in a Ph.D. program studying machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field
  • Candidates should have at least one semester/quarter left of their education after finishing the internship
  • 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
  • Familiarity with software development best practices, version control systems (e.g., Git), and collaborative coding
  • Proficiency in programming with Python and familiarity with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)
  • Experience with data manipulation and visualization tools
  • Experience with publishing research (conference papers, journals)
  • Experience with working across both technical and business partners
  • Experience with productionizing models in an industry setting serving large scale traffic

Responsibilities

  • Conduct literature reviews to stay current with the latest advancements in machine learning, deep learning, and related areas
  • Develop, test, and refine novel machine learning models and algorithms tailored to specific project challenges
  • Explore and implement state-of-the-art techniques to improve model accuracy, scalability, and efficiency
  • Design and build prototypes or proof-of-concept implementations to validate new approaches
  • Develop scalable and well-documented code using Python (or other relevant languages) and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)
  • Perform extensive experiments, including hyperparameter tuning, model evaluation, and performance benchmarking
  • Collaborate with data engineering teams to understand data characteristics, perform preprocessing, and manage datasets
  • Analyze experimental results, identify trends, and provide actionable insights to refine research approaches
  • Troubleshoot issues that arise during model development and deployment
  • Work closely with a multidisciplinary team that may include data scientists, software engineers, and domain experts
  • Document research methodologies, experimental designs, and outcomes in detailed reports
  • Present findings and progress updates to team members and stakeholders through meetings, presentations, or technical demos
  • Contribute to writing research papers or technical reports that may lead to publications or patents

FAQs

What is the duration of the PhD Software Engineer Intern position?

The internship is for a duration of 12 weeks during the summer of 2025.

What qualifications are required 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 should have at least one semester/quarter left of their education after finishing the internship.

What programming languages are preferred for this role?

Experience in one or more object-oriented languages is required, including C++, Java, Python, or Go.

Will I have the opportunity to work on real-world projects?

Yes, as a PhD intern, you will work on cutting-edge machine learning problems and contribute to research projects with practical applications in the industry.

Is experience with machine learning frameworks necessary for this role?

While not mandatory, proficiency in programming with Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, or Scikit-Learn are preferred qualifications.

Will I receive mentorship during the internship?

Yes, you will work under the supervision of an experienced engineer on the team and collaborate closely with experts in various functions.

What type of team will I be working with?

You will be part of a multidisciplinary team, which may include data scientists, software engineers, and domain experts.

Are there opportunities to publish research during this internship?

Yes, you may have opportunities to contribute to writing research papers or technical reports that could lead to publications or patents.

What kind of tasks will I be expected to perform?

You will conduct literature reviews, develop and test machine learning models, implement prototypes, perform data analysis, and present findings to team members and stakeholders.

Is prior experience in publishing research required?

While it is not required, experience with publishing research (such as conference papers or journal articles) is considered a preferred qualification.

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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

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