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AI / ML Infrastructure Recruiting & Talent — Seattle

Hiring or job-hunting in ai / ml infrastructure around Seattle? This is a focused guide to the market: the roles in demand, the skills that move offers, and what the pay actually looks like — for a niche the big salary surveys barely cover. Compensation for these roles moved faster than the annual survey cycle — published bands are a year stale before they print, and AI-safety/eval titles aren't in the panels at all.

Roles in demand

  • ML Infrastructure Engineer
  • MLOps Engineer
  • Inference Engineer
  • GPU Systems Engineer

Emerging

  • LLM Infrastructure Engineer
  • AI Safety Engineer
  • Model Evaluation Engineer

Skills that move offers

  • CUDA
  • distributed training
  • Kubernetes
  • Ray
  • vLLM
  • Triton

Compensation

Survey in progress

We're running a focused compensation survey for ai / ml infrastructure roles — including the emerging titles (LLM Infrastructure Engineer, AI Safety Engineer, Model Evaluation Engineer) that Radford and Mercer don't break out. Real, min-N pay bands replace this as soon as we hit the threshold.

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Are you a recruiting or search firm specializing in ai / ml infrastructure? Claim this page exclusively — your brand, your contact details, every lead it produces. Tell us about your practice.

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Targets: ai / ml infrastructure recruiter seattle · ml infrastructure engineer salary seattle · hire ai / ml infrastructure engineers seattle · llm infrastructure engineer jobs