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2025 PhD Software Engineer Intern (Threat Detection), United States

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Uber

8d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • Sunnyvale

AI generated summary

  • You must be a Ph.D. student in a relevant field, with experience in ML algorithms, NLP, deep learning, and libraries like TensorFlow or PyTorch, plus strong problem-solving and communication skills.
  • You will drive innovative projects, navigate ambiguous requirements, collaborate with teams, make data-driven decisions, and demonstrate ownership to enhance customer experience.

Requirements

  • Currently enrolled in a Ph.D. program studying Machine Learning, Computer Science, Computer Engineering, or relevant technical fields
  • Candidates should have at least one semester/quarter left of their education after finishing the internship
  • Experience in machine learning algorithms, deep learning, and statistical modeling
  • Excellent problem-solving and communication skills
  • Experience in NLP and GenAI/LLMs
  • Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn
  • 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 peer researchers, 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 internship?

The internship duration is 12 weeks during the Summer of 2025.

What educational background is required for this internship?

Candidates must be currently enrolled in a Ph.D. program studying Machine Learning, Computer Science, Computer Engineering, or relevant technical fields.

Are there any specific skills or experiences required for applicants?

Yes, candidates should have experience in machine learning algorithms, deep learning, and statistical modeling.

Is there an expectation for students to graduate immediately after the internship?

No, candidates should have at least one semester or quarter left of their education after finishing the internship.

What type of projects will interns be working on?

Interns will drive exciting, ambitious, previously unsolved projects from end to end, including working on threat detection involving machine learning and big data technologies.

Will interns collaborate with other teams during their internship?

Yes, interns will collaborate closely with peer researchers, product managers, data scientists, and engineers from different teams.

Is there a focus on specific areas of machine learning for this position?

Preference will be given to candidates with experience in Natural Language Processing (NLP) and Generative AI/Language Models (LLMs).

What tools or libraries should candidates be familiar with?

Candidates should have experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.

Is experience in academic presentations relevant for this internship?

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

What qualities are desired in a candidate apart from technical skills?

Candidates should possess excellent problem-solving and communication skills, as well as a passion for making Uber better for its customers.

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