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