Principal ML Engineer - Large-Scale Training Performance

Advanced Micro Devices, Inc.; San Jose (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

A leading technology company is seeking a Principal Machine Learning Engineer to join their Models and Applications team. This role focuses on improving training efficiency in distributed systems for large models using AMD GPUs. The ideal candidate will have a strong background in distributed training algorithms and ML frameworks like PyTorch or TensorFlow. Candidates should hold a Master’s or PhD in a relevant field and possess excellent programming and communication skills. The position is located in San Jose, CA or Bellevue, WA.

Qualifications

• Experience with ML/DL frameworks such as PyTorch, JAX, or TensorFlow.
• Experience with distributed training frameworks.
• Excellent programming skills in Python or C++.

Responsibilities

• Train large models to convergence on AMD GPUs.
• Improve the end-to-end training pipeline performance.
• Collaborate across teams with various groups.

Skills

Distributed training pipelines

Distributed training algorithms (Data Parallel, Tensor Parallel)

ML/DL frameworks (PyTorch, JAX, TensorFlow)

GPU kernel optimization

Python or C++ programming

Communication skills

Problem-solving skills

Education

Master's degree or PhD in Computer Science, AI, or Machine Learning

Tools

Megatron-LM

MaxText

TorchTitan

Job description

A leading technology company is seeking a Principal Machine Learning Engineer to join their Models and Applications team. This role focuses on improving training efficiency in distributed systems for large models using AMD GPUs. The ideal candidate will have a strong background in distributed training algorithms and ML frameworks like PyTorch or TensorFlow. Candidates should hold a Master’s or PhD in a relevant field and possess excellent programming and communication skills. The position is located in San Jose, CA or Bellevue, WA.