Applied Research Scientist

Advanced Micro Devices, Inc•San Jose, CA

1d•Hybrid

About The Position

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. We are looking for an Applied Research Scientist experienced with training large language models, large multimodal models, and image/video generation models. In this role, you will explore novel LLM/LMM and image/video generation architectures and large-scale training techniques to advance the state-of-the-arts. You will be part of a world-class research team working on pre-training, fine-tuning, and aligning large language models, large multimodal models, and image/video generation models, in addition to keeping up-to-date to the latest progress and trends in LLM/LMM, image/video generation, and other foundation models.

Requirements

Experience in developing and debugging in Python.
Experience in ML frameworks such as PyTorch, JAX or TensorFlow.
Experience with distributed training.
Expertise on LLM/LMM/Diffusion pretraining, finetuning, and/or RLHF.
Familiar with transformer architecture.
Strong communication and problem-solving skills.

Nice To Haves

Publication at top-tier venues is a huge plus.

Responsibilities

Train and finetune LLMs, LMMs, and image/video generation models.
Improve on the state-of-the-art LLMs, LMMs, and image/video generation models.
Accelerate the training and inference speed of LLMs, LMMs, and image/video generation models.
Research novel ML techniques and model architectures.
Influence the direction of AMD AI platform.
Publish your work at top-tier venues.
Engage with academia and open-source ML communities.