2026 PhD Software Engineer Intern (AI Platform), United States

Uber • Seattle, WA • 9h ago

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.

About the Team

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.

What You'll Do

Design and build tools to empower production teams to innovate and productionize state-of-the-art DL/LLM models at Uber

Develop and maintain scalable end-to-end training and inference systems

Ensure tools developed are reliable, efficient, flexible to use for production

Collaborate with cross-functional teams including machine learning engineers(MLE), backend engineers, data scientists/engineers to deliver robust ML solutions for Uber

Utilize Generative AI Agents to enhance and expedite the model development process

Document findings and contribute to technical reports, publications, or open-source tools

Basic Qualifications

Current PhD student in Computer Science, Artificial Intelligence, or related fields

Candidates must have at least one semester/quarter of their education left following the internship

Strong understanding of the distributed DL training and inference system

Proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Ray, etc)

Demonstrated ability to conduct independent research

Preferred Qualifications

Publications in top DL/LLM/AI conferences (e.g., NeurIPS, ICML, ICLR, etc)

Experience on distributed training, model parallelism, GPU kernels (or alternative HW), and related SW like DDP, DeepSpeed, cuda, vLLM, etc.

Familiarity with models like LLM, Recommendation system, NLP, CV, etc.

Familiarity with resource management and Kuberate

Strong problem-solving and communication skills

For Seattle, WA-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.

Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

Uber

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