Job DescriptionWe're looking for PhD candidates to intern on the Observability Monitoring & Alerting 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:
Join Uber's Observability Monitoring & Alerting team and help build the next generation of Uber's alerting and monitoring platform-used daily by every engineer across the company.
Our mission is to reduce time to detect and mitigate outages through statistical analysis and AI-driven innovation. We focus on three core areas: standardizing and applying anomaly detection to system and platform metrics to identify issues early; leveraging AI to help engineers quickly root-cause and resolve problems; and closing the loop with annotations and insights to continuously improve the balance between precision and recall.
What You'll Do- Drive exciting, ambitious, previously unsolved projects from end to end
- Thrive in ambiguous product requirements
- Collaborate with product managers, data scientists and machine learning engineers 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 distributed systems, machine learning or a related engineering field
- Candidates must have at least one semester/quarter of their education left following the internship
Preferred Qualifications
- Knowledge of underlying technical foundations of distributed systems, machine learning workflows, etc.
- Experience in one or more object-oriented languages, including C++, Java, Python, or Go
- Experience with statistical analysis or anomaly detection
- 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
- Experience with handling multimodality data in the industry
For New York, NY-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
For all US locations, you will also be eligible for various benefits.
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