Staff ML Engineer – AWS Trainium, SageMaker

🔥 8 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

👻 Ghost score 16%

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Robots & Pencils

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• Train and operate models on Amazon SageMaker with AWS Trainium as the underlying compute • Write and optimize PyTorch training code, including understanding NeuronCore architecture, compiler behavior, and memory/throughput tradeoffs • Diagnose hardware-specific training run issues and distinguish data or code problems from compiler- or device-level problems • Translate Trainium job requests into working, cost-aware end-to-end training pipelines • Tune distributed training runs for throughput and cost on SageMaker infrastructure • Work directly with client and internal engineering teams to scope and deliver production training workloads

🎯 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, including device-specific compilation and accelerator-level debugging • AWS Trainium or Inferentia (Neuron SDK) experience is a strong plus • Deep PyTorch experience and a track record of quickly learning new hardware targets if Trainium or Inferentia experience is not already held • Solid Python fundamentals • Comfort operating in a client-facing, production engineering environment

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