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.