Staff ML Engineer – AWS Trainium & SageMaker

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff ML Engineer – AWS Trainium & SageMaker based in United States.

• As a Staff ML Engineer, you will design, train, optimize, and operate production machine learning workloads on AWS Trainium and Amazon SageMaker.
• You will work deeply across the ML stack, from PyTorch training code and distributed execution to accelerator hardware and compiler behavior.
• The role requires understanding how training workloads behave on custom silicon rather than treating infrastructure as a black box.
• You will diagnose complex training issues, optimize throughput and cost, and build reliable pipelines for real production workloads.
• You will work directly with engineering teams to translate business and technical requirements into scalable training solutions.
• The environment is highly hands-on, technical, and client-facing, with a focus on solving specialized problems that require deep engineering expertise.
• This is an opportunity to work at the intersection of machine learning, cloud infrastructure, distributed systems, and custom AI acceleration.