Staff ML Engineer – AWS Trainium & SageMaker
Robots and Pencils7 hours ago
Responsibilities
- Train and operate models on Amazon SageMaker using AWS Trainium compute.
- Write and optimize PyTorch training code for Trainium, including compilation, memory, throughput, and NeuronCore execution considerations.
- Diagnose training issues caused by hardware, compilers, devices, data, or code.
- Build end-to-end, cost-aware SageMaker training pipelines from workload requirements.
- Tune distributed training runs for throughput and cost.
- Work directly with client and internal engineering teams to scope and deliver production training workloads.
Requirements
- Strong hands-on PyTorch experience, ideally with distributed or multi-device training.
- Production experience with Amazon SageMaker for training and/or inference.
- Understanding of device-specific compilation and ability to debug accelerator-level issues.
- Solid Python fundamentals and comfort working in a client-facing production engineering environment.
- AWS Trainium or Inferentia and Neuron SDK experience is preferred but not required.
- Deep PyTorch experience and a track record of learning new hardware targets are valued.
Categories
Forward DeployedML Engineering
About Robots and Pencils
Robots & Pencils is an applied AI engineering firm that designs, builds, and runs production AI systems and agentic co-workers for enterprise operations, with a focus on AWS. The privately held company, founded in 2009 and headquartered in Chagrin Falls, Ohio, provides consulting and implementation services spanning data readiness, cloud modernization, and AI enablement. It is an AWS Advanced Tier Services Partner with delivery teams across the U.S., Canada, Eastern Europe, and Latin America.