We’re looking for PhD candidates to intern on the Uber AI Platform team during winter 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 contribute to research and development of AI agents for security and privacy. You’ll explore methods to build, evaluate, and scale agents that can reason about complex systems, detect vulnerabilities, propose and apply patches, and verify security outcomes.
The AI platform (Michelangelo) team is dedicated to enhancing the development and production experiences for Deep Learning (DL) and Large Language Model (LLM) engineers and data scientists across all Uber products. We achieve this by building and operating a suite of tools that support every critical phase of the machine learning lifecycle, including feature engineering, distributed training, GPU resource management, model inference, ML-Ops, and monitoring. Our Canvas tool enables rapid and collaborative iteration during model development, with automatic scaling for robust deployment into production.
A key focus of this team is distributed training/inference for DL/LLM models within multi-GPU/TPU clusters. The team comprises talented individuals with diverse expertise, including modeling, framework development, GPU kernels, data loading, distributed algorithms, job controllers, and resource management.
