Engineering · Salary Guide · Seattle
Machine Learning Engineer Salary in Seattle
Seattle offers a favorable salary-to-tax ratio. Base salaries run roughly 80–85% of SF levels, but Washington's zero state income tax means take-home pay is often within 5% of SF for the same role. Amazon alone employs over 50,000 engineers in the Puget Sound region, and AWS-specific roles (cloud, distributed systems, infra) carry a 10–15% premium over generalist engineering. Microsoft, Meta's Seattle office, and a growing cluster of Seattle-based startups round out the market. Cost of living is 40% above the national average — lower than SF or NYC but still high. A 1BR in Seattle proper averages $2,200/month.
Median base in Seattle
$234k
Cost of living index
140
US = 100
Market multiplier
1.20x
vs US national
Salary by experience level in Seattle
| Experience level | Base salary (US national) |
|---|---|
| Entry (0–2 yrs) | $138k – $204k |
| Mid (3–5 yrs) | $192k – $282k |
| Senior (6–9 yrs) | $258k – $408k |
| Staff / Principal (10+ yrs) | $372k – $720k |
Adjusted from national ranges using the Seattle market multiplier (1.20x).
Tax and take-home considerations
No state income tax — Washington's biggest compensation advantage vs. CA or NY.
Dominant employers in Seattle
No state income tax. Dominated by Amazon and Microsoft; AWS roles pay a premium.
FAQ
What is the average machine learning engineer salary in Seattle?
The median base salary for a machine learning engineer in Seattle is approximately $234k in 2026. Seattle offers a favorable salary-to-tax ratio.
Does Seattle have state income tax for machine learning engineers?
No state income tax — Washington's biggest compensation advantage vs. CA or NY.
Which companies hire the most machine learning engineers in Seattle?
The dominant employers in Seattle are Amazon, Microsoft, Meta, Google, Snowflake. No state income tax. Dominated by Amazon and Microsoft; AWS roles pay a premium.
What is the average ML engineer salary in the US?
As of 2026, the median base salary for a US ML engineer is about $195,000, with mid-level ranges of $160k–$235k. Total compensation varies widely — applied ML engineers at Big Tech clear $300k–$450k TC, while research engineers at frontier AI labs reach $700k–$1.1M+.
How much do research engineers at OpenAI or Anthropic make?
Research engineers at OpenAI and Anthropic typically earn $350k–$700k total comp at the mid level and $700k–$1.1M+ at the senior level. Compensation is paid in base plus PPUs (OpenAI) or equity (Anthropic). Offers above $1M generally require a published research track record.
Related Machine Learning Engineer Resources
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