Staff ML Engineer – AWS Trainium & SageMaker

📋 Description Train and operate models on Amazon SageMaker with AWS Trainium as the underlying compute Write and optimize PyTorch training code with a real understanding of how it compiles and executes Diagnose training run issues that show up specifically because of the hardware, not just the model Translate a request for "a Trainium job" into an actual working, cost-aware training pipeline, end Tune distributed training runs for throughput and cost on SageMaker's training infrastructure Work directly with client and internal engineering teams to scope and deliver real production 🎯 Requirements Strong, hands-on PyTorch experience, ideally including distributed or multi-device training Production experience with Amazon SageMaker for training and/or inference Comfort working close to the hardware layer: you understand device-specific compilation and can AWS Trainium or Inferentia (Neuron SDK) experience is a strong plus; if you don't have it yet but Solid Python fundamentals and comfort operating in a client-facing, production engineering 🎁 Benefits Work forward-deployed with enterprise clients on production AI systems