Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in software engineering with a strong focus on machine learning and distributed systems — you've successfully designed and implemented large-scale ML models and understand the intricacies of optimizing performance across diverse architectures. Your expertise in Python and familiarity with frameworks such as TensorFlow and PyTorch enable you to tackle complex challenges in ML training.

You possess a deep understanding of distributed training frameworks and have experience extending and optimizing libraries like FSDP and Hugging Face for performance on cloud-based systems. Your collaborative spirit shines through as you work closely with chip architects and runtime engineers to deliver efficient solutions that meet customer needs.

What you'll do

In this role, you will be responsible for designing, implementing, and optimizing distributed training solutions for large-scale ML models running on AWS Trainium instances. You will focus on enhancing the performance of ML model training, including pre-training and post-training of large language models and multimodal models. Your work will involve developing mixed-precision and low-precision training techniques to improve efficiency and reduce costs.

You will collaborate with cross-functional teams, including ML researchers and AWS solution architects, to ensure that the solutions you develop are not only performant but also cost-effective. Your contributions will directly impact the capabilities of AWS Trainium, enabling customers to leverage advanced machine learning technologies in their applications.

What we offer

Amazon provides a comprehensive benefits package that includes health insurance, retirement plans, and generous paid time off. You will have the opportunity to work in a dynamic environment where innovation is encouraged, and your contributions will help shape the future of machine learning in the cloud. Join us and be part of a team that is dedicated to pushing the boundaries of technology and delivering impactful solutions to customers around the world.