WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

AMD together we advance_

THE ROLE:

We are looking for Machine Learning Engineer to join our Models and Applications team. If the challenge of distributed training of large model on large number of GPUs excites you and you are passionate about improving training efficiency and enjoy innovating and coming up with new ideas, then this role is for you.

You will be part of world class team focus on addressing the challenge of training generative AI.

THE PERSON:

The ideal candidate should have experience with distributed training pipeline, knowledgeable with distributed training algorithms (Data parallel, Tensor parallel, Pipeline parallel, ZeRO) and familiar with training Large Model.

KEY RESPONSIBILITIES:

• Train large model to convergence on AMD GPUs.
• Improve the end-to-end training pipeline performance.
• Optimize the distributed training pipeline and algorithm to scale out.
• Contribute your changes to open source.
• Up to date with latest training algorithms.
• Influence the direction of AMD AI platform.
• Cross team collaborate with various group and stakeholder.

PREFERRED EXPERIENCE:

• Experience in ML frameworks such as PyTorch, JAX or Tensorflow.
• Experience with distributed training and distributed training framework such as DeepSpeed.
• Experience with LLM or Vision, especially large model is a plus.
• Excellent python programing skills, including debugging, profiling, and perf analysis.
• Experience with ML pipeline.
• Strong communication and problem-solving skills.

ACADEMIC CREDENTIALS:

A master’s degree in computer science, artificial intelligence, machine learning, or a related field.

LOCATION:

Beijing or Shanghai

#LI-JG2

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

THE ROLE:

We are looking for Machine Learning Engineer to join our Models and Applications team. If the challenge of distributed training of large model on large number of GPUs excites you and you are passionate about improving training efficiency and enjoy innovating and coming up with new ideas, then this role is for you.

You will be part of world class team focus on addressing the challenge of training generative AI.

THE PERSON:

The ideal candidate should have experience with distributed training pipeline, knowledgeable with distributed training algorithms (Data parallel, Tensor parallel, Pipeline parallel, ZeRO) and familiar with training Large Model.

KEY RESPONSIBILITIES:

• Train large model to convergence on AMD GPUs.
• Improve the end-to-end training pipeline performance.
• Optimize the distributed training pipeline and algorithm to scale out.
• Contribute your changes to open source.
• Up to date with latest training algorithms.
• Influence the direction of AMD AI platform.
• Cross team collaborate with various group and stakeholder.

PREFERRED EXPERIENCE:

• Experience in ML frameworks such as PyTorch, JAX or Tensorflow.
• Experience with distributed training and distributed training framework such as DeepSpeed.
• Experience with LLM or Vision, especially large model is a plus.
• Excellent python programing skills, including debugging, profiling, and perf analysis.
• Experience with ML pipeline.
• Strong communication and problem-solving skills.

ACADEMIC CREDENTIALS:

A master’s degree in computer science, artificial intelligence, machine learning, or a related field.

LOCATION:

Beijing or Shanghai

#LI-JG2