About the job
We are looking for a Principal Machine Learning Engineer to join our Models and Applications 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 at scale.
Responsibilities
Train large models to convergence on AMD GPUs at scale.
Improve the end-to-end training pipeline performance.
Optimize the distributed training pipeline and algorithm to scale out.
Contribute your changes to open source.
Stay up-to-date with the latest training algorithms.
Influence the direction of AMD AI platform.
Collaborate across teams with various groups and stakeholders.
Qualifications
Minimum
No minimum qualifications listed.
Preferred
Experience with ML/DL frameworks such as PyTorch, JAX, or TensorFlow.
Experience with distributed training and distributed training frameworks, such as Megatron-LM, MaxText, TorchTitan.
Experience with LLMs or computer vision, especially large models, is a plus.
Experience with GPU kernel optimization is a plus.
Excellent Python or C++ programming skills, including debugging, profiling, and performance analysis at scale.
Experience with ML infra at kernel, framework, or system level
Strong communication and problem-solving skills.