Hiring
•
min read

How to Hire a Machine Learning Engineer in Seattle (2026)

September 5, 2026

How to Hire a Machine Learning Engineer in Seattle (2026)

Hiring a machine learning engineer in Seattle? Across 110 live machine learning engineer postings in Seattle, the market pays a $212K median salary (typically $181K–$261K). Recruiting from Scratch is the contingency technical recruiting firm for these hires — a 29-day average time to hire, 300+ placements, and a 2M+ candidate network.

What a machine learning engineer does

A machine learning engineer builds, trains, and deploys machine-learning models and the production systems that serve them. Hiring one in Seattle means competing with the companies below.

What the role requires (from 110 live Seattle postings)

What employers actually screen for, aggregated across 110 active machine learning engineer postings in Seattle:

  • Experience: typically 6+ years of experience.
  • Languages: Python, Java, Scala, Go, Go.
  • Frameworks: Fastapi, React, Spring, Express, Node.js.
  • Most-requested skills: Python, PyTorch, TensorFlow, AWS, Kubernetes, Azure, Docker, Go.
  • Pay: a $212K median salary (typically $181K–$261K), base — equity typically on top.

Companies hiring machine learning engineers in Seattle

A sample of the companies with live machine learning engineers openings in Seattle:

CompanyActively hiring
Applemachine learning engineers in Seattle
Pinterestmachine learning engineers in Seattle
Atlassianmachine learning engineers in Seattle
Extreme Networksmachine learning engineers in Seattle
GRIDmachine learning engineers in Seattle
Hivemachine learning engineers in Seattle
Robinhoodmachine learning engineers in Seattle
Elastixmachine learning engineers in Seattle
Axonmachine learning engineers in Seattle
Chewymachine learning engineers in Seattle
Metropolis Technologiesmachine learning engineers in Seattle
PitchBookmachine learning engineers in Seattle

How Recruiting from Scratch hires machine learning engineers

Recruiting from Scratch is a contingency technical recruiting firm — no retainer and no upfront cost, so you pay only when you make a hire. The process: align on the role and must-haves → a curated shortlist of 3–5 genuinely qualified machine learning engineers (not resume volume) → a 29-day average time to hire versus the 49-day industry average → a 90-day replacement guarantee. Backed by 300+ placements, a 2M+ candidate network, and named hires at companies like Decagon and Mercor.

FAQ

What does a machine learning engineer do?

A machine learning engineer builds, trains, and deploys machine-learning models and the production systems that serve them.

What salary does a machine learning engineer in Seattle command in 2026?

Across 110 live postings in Seattle, a $212K median salary (typically $181K–$261K) — base only; equity is typically on top. Most postings expect 6+ years of experience.

What should you look for when hiring a machine learning engineer?

Depth in the skills these postings require (Python, PyTorch, TensorFlow, AWS, Kubernetes, Azure, Docker, Go), plus ML fundamentals paired with real production engineering — not just notebooks. Recruiting from Scratch sends a shortlist of 3–5 genuinely qualified candidates, not resume volume.

How does Recruiting from Scratch hire machine learning engineers?

On a contingency model — no retainer, no upfront cost, pay only on a hire — with a 29-day average time to hire (industry average 49 days), a 90-day replacement guarantee, and named hires at companies like Decagon and Mercor.

Related

Recruiting from Scratch also publishes salary benchmarks and recruiting-firm rankings for machine learning engineers.

Ready to hire?

Tell us about your open roles and we'll start sourcing within 48 hours.

Learn more from our blog

Visit our blog