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

July 27, 2026

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

Hiring a machine learning engineer in Seattle? Across 111 live machine learning engineer postings in Seattle, the market pays a $205K median salary (typically $175K–$253K). 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 111 live Seattle postings)

What employers actually screen for, aggregated across 111 active machine learning engineer postings in Seattle:

  • Experience: typically 5+ years of experience.
  • Languages: Python, Java, Scala, Go, Go.
  • Frameworks: Fastapi, React, Express.
  • Most-requested skills: Python, PyTorch, TensorFlow, AWS, Azure, Kubernetes, Docker, GCP.
  • Pay: a $205K median salary (typically $175K–$253K), base — equity typically on top.

What machine learning engineers cost in Seattle

PercentileBase salary
25th$175K
Median$205K
75th$253K

Based on 61 machine learning engineer postings in Seattle that disclose pay. Base only — equity is typically on top.

What we're seeing in the market right now

  • What the work is: of the 69 postings that specify, 87% ML/AI, 9% platform engineering, 4% infrastructure.
  • Equity: 46% of machine learning engineer postings in Seattle mention equity alongside base pay.
  • Pay transparency: 55% of these postings disclose a salary range, so the numbers above rest on 61 real ranges.
  • Concentration: the ten companies below account for 59% of open machine learning engineer roles in Seattle — you are mostly competing with them.
  • What's advertised alongside pay: 49% mention health insurance, 35% PTO, 17% parental leave, 5% a learning budget.

Companies hiring machine learning engineers in Seattle

The companies with the most live machine learning engineer openings in Seattle, with what each pays and screens for (medians shown only where at least 3 postings disclose pay):

CompanyOpen machine learning engineer rolesMedian pay (disclosed)Top skills
Apple28Python, PyTorch, TensorFlow
Pinterest8$306KSQL
Amazon7$144KPyTorch, Python, AWS
Oracle5$263K
Zoom3Python, PyTorch, TensorFlow
Axon3$204KPython, PyTorch, TensorFlow
Block3$269KPython, PyTorch, TensorFlow
Hive3$205KPython, PyTorch, Scala
Remitly3Python, PyTorch, Scikit-Learn
Chewy3

Who's hiring, by company stage

Where the machine learning engineer demand sits across funding stages, across the 48 companies with the most live openings in Seattle:

StageCompanies hiringOpen rolesMedian pay (disclosed)Examples
Seed22Constellation Space, Oumi
Series A22Wherobots Inc, Elastix
Series B12PitchBook
Series C55Qualtrics, LLMs & Generative AI, NewsBreak
Series D+811$205KHive, Metropolis Technologies, Stripe
Public2077$221KApple, Pinterest, Amazon

A further 10 of those companies have no funding stage on file and are not shown above.

How to run this search well

  • Screen for production ML, not notebooks. Ask what broke after a model shipped — drift, latency, retraining — and who fixed it.
  • Separate research from engineering in the loop. Conflating the two is why ML searches stall; decide which one you're actually hiring.
  • Move fast on strong candidates. ML supply is the tightest in this market; a week of deliberation is usually a lost hire.

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 111 live postings in Seattle, a $205K median salary (typically $175K–$253K) — base only; equity is typically on top. Most postings expect 5+ 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, Azure, Kubernetes, Docker, GCP), 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.

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