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45
Open Roles
$157K–$225K
Median Salary
$300K+
Top 10% Pay
11%
Remote-Friendly

About Data & ML Jobs in Seattle roles

Seattle's deep-rooted legacy in cloud computing and enterprise software has cultivated a thriving ecosystem for Data & Machine Learning professionals, making it a premier hub for AI innovation. As the home base for tech giants like Amazon and Microsoft, alongside a vibrant startup scene featuring high-growth companies like OctoML, Yoodli, and Motherduck, the city offers highly competitive compensation packages that often rival those in Silicon Valley while benefiting from Washington's lack of state income tax. The local tech culture strongly supports hybrid work models and cross-functional collaboration, and the close proximity to top-tier research institutions like the University of Washington ensures a continuous, high-quality pipeline of cutting-edge ML talent and unique networking opportunities for ambitious practitioners.

Hiring demand for Data and ML roles in Seattle is experiencing accelerated growth this year, driven heavily by rapid enterprise adoption of generative AI and cloud-native analytics. While mid-stage startups and established tech enterprises are both actively expanding their AI teams, there is a particularly strong surge in openings for machine learning engineers with MLOps and infrastructure expertise compared to the previous year.

Data & ML Jobs in Seattle salary overview

The median salary range across these 45 positions is $157K–$225K. Top earners make $300K+.

Latest openings

Senior Data Engineer
Metropolis Technologies · Seattle, WA
Data Scientist
Stripe · Seattle, WA
$192K–$288K
People Analytics AI Engineer
Samsara · Seattle, WA
$146K–$221K
Senior Data Analytics Engineer
Axon Enterprise · Seattle, WA
$99K–$159K
Partner Business Intelligence
Openai · Seattle, WA
$293K–$325K
Senior Data Engineer
Xealth · Seattle, WA
$155K–$225K
Staff Data Engineer, Finance
Dat Freight Analytics · Seattle, WA
$170K–$230K
AI Scientist I
Axon Enterprise · Seattle, WA
$129K–$207K
Principal Machine Learning Engineer
Axon Enterprise · Seattle, WA
$177K–$283K
Senior Machine Learning Engineer
Axon Enterprise · Seattle, WA
$150K–$241K
Senior Machine Learning Engineer II
Axon Enterprise · Seattle, WA
$156K–$250K
Applied AI Engineer
Gradial · Seattle, WA
$130K–$220K
Senior Consultant - AI Engineer
Kalles Group · Seattle, WA
$175K–$200K
$108K–$136K
Sr. Data Engineer
Pitchbook Data · Seattle, WA
$140K–$170K
Research Scientist, Robotics
The Allen Institute For Artificial Intelligence · Seattle, WA
$167K–$260K
Senior Applied Scientist
Outreach · Seattle, WA
$140K–$175K
Senior Machine Learning Engineer, Computer Vision
Metropolis Technologies · Seattle, WA
$150K–$200K
Staff Applied Scientist
Designworks Talent · Seattle, WA
$220K–$275K
Senior Applied Scientist
Designworks Talent · Seattle, WA
$200K–$250K
Principal Applied Scientist
Designworks Talent · Seattle, WA
$250K–$350K
Senior AI Engineer
Metropolis Technologies · Seattle, WA
$293K–$325K
Deep Learning Engineer
Carbon Autonomous Robotics Systems · Seattle, WA
$140K–$220K
$293K–$325K
$155K–$175K
AI Engineer
Ravenna · Seattle, WA
$160K–$200K
Lead Machine Learning Engineer
Amperity · Seattle, WA
$190K–$260K
View all 45 roles →

Frequently asked questions

What is the average salary for Data & ML roles at Seattle startups vs. big tech?
While big tech companies in Seattle often provide higher total compensation through RSUs, many local AI startups offer competitive base salaries ranging from $140,000 to $200,000, along with significant equity upside and more flexible remote work options.
Which Seattle startups are currently hiring the most machine learning engineers?
Fast-growing AI and data startups like OctoML, Yoodli, and Motherduck are frequently expanding their engineering teams, particularly seeking candidates with strong backgrounds in large language models and scalable data infrastructure.
Are there remote-friendly Data Science roles based in Seattle?
Yes, a large portion of Seattle-based startups have adopted hybrid or fully remote work models for Data Science and ML roles, allowing engineers to collaborate effectively across the Pacific Northwest and beyond.

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