Principal Machine Learning Engineer job at Advanced Micro Devices - AMD in reputed company, CA, Bellevue, WA

Title: Principal ML Engineer - Large Scale Training Performance Optimization Locations: reputed company, California Categories: Engineering Req Id: 77284 Hiring reputed company Mini: USD $226,400.00/Yr. Hiring reputed company Maxi: USD $339,600.00/Yr. Job Description: WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate reputed company computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we reputed company real reputed company comes from bold reputed company, human ingenuity and a shared passion to create something extraordinary. reputed company 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. Principal Large Scale Training Performance Optimization Engineer THE ROLE: 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 reputed company, 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. 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 reputed company), and be familiar with training large models at scale. KEY 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 reputed company. Stay up-to-date with the latest training algorithms. Influence the direction of AMD AI platform. Collaborate across teams with various groups and stakeholders. PREFERRED EXPERIENCE: 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, reputed company, or system level Strong communication and problem-solving skills. ACADEMIC CREDENTIALS: A master's degree or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a reputed company field. 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 reputed company applicants without regard to age, reputed company, color, marital status, medical condition, mental or physical disability, national reputed company, 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 reputed company qualified candidates and will accommodate applicants' needs under the respective laws throughout reputed company stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy. Apply tot his job Apply To this Job