We're looking for PhD candidates to intern on the Threat Detection team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team.
About the Team
The Threat Detection team at Uber is responsible for identifying and mitigating malicious activities to safeguard Uber's services, infrastructure, and users, with the help of machine learning, big data technologies. They work closely with other teams within Engineering Security to safeguard the confidentiality, integrity, and availability of customer information, and ensure a secure computing environment for the Uber community.
What You'll Do
- 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
Basic Qualifications
- 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
Preferred Qualifications
- 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
For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
You will also be eligible for various benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90958168
- Position Id: 16d2da3198f4a642f90c3d25e5419068
- Posted 4 days ago
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