Sr. Fellow Machine Learning Engineer
AMD · San Jose, CA · Engineering
About this role
AMD is hiring a senior-level Machine Learning Engineer based in San Jose, CA (hybrid). The posting calls out experience with Python, TensorFlow, PyTorch, LLMs. Listed education preference: a master's degree or equivalent.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- senior
- Track
- Tech leadership
- Location
- San Jose, CA
- Work mode
- Hybrid
- Education
- Master's degree
- Department
- Engineering
- Posted
- Feb 16, 2026
More roles at AMD
Job description
from AMD careersWHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
We are looking for a Fellow/Sr. Fellow Machine Learning Engineer to join our Training At Scale team. If you are excited by the challenge of distributed training of large models on a large number of GPUs, and if you are passionate about improving training efficiency while innovating and generating new ideas, then this role is for you. You will be part of a world class team focused on addressing the challenge of training generative AI.
THE PERSON:
The ideal candidate should have experience with distributed training pipelines, be knowledgeable in distributed training algorithms (Data Parallel, Tensor Parallel, Pipeline Parallel, Expert Parallel), and be familiar with training large models.