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29
Open Roles
$180K–$213K
Median Salary
$280K+
Top 10% Pay
7%
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 29 positions is $180K–$213K. Top earners make $280K+.

Latest openings

Senior Staff Applied Scientist
Coupang · Seattle, WA
Sr AI Engineer
DAT Freight & Analytics · Seattle, WA
$162K–$207K
Principal Machine Learning Engineer
Axon Enterprise · Seattle, WA
$177K–$283K
Senior Machine Learning Engineer
Axon Enterprise · Seattle, WA
$150K–$241K
Sr Machine Learning Engineer II
Axon Enterprise · Seattle, WA
$150K–$241K
$136K–$170K
Sr. Machine Learning Engineer
PitchBook Data · Seattle, WA
$170K–$240K
Machine Learning Engineer
PitchBook Data · Seattle, WA
$125K–$180K
Research Scientist, Climate Modeling
The Allen Institute for Artificial Intelligence · Seattle, WA
$167K–$260K
Research Scientist, Asta
The Allen Institute for Artificial Intelligence · Seattle, WA
$167K–$260K
Senior Research Scientist, Open Ecosystem
The Allen Institute for Artificial Intelligence · Seattle, WA
$170K–$270K
Research Scientist, Robotics
The Allen Institute for Artificial Intelligence · Seattle, WA
$167K–$260K
Staff Forward Deployed Applied Scientist
DigitalOcean Holdings · Seattle, WA
$220K–$239K
Deep Learning Engineer
Carbon Autonomous Robotics Systems · Seattle, WA
$140K–$220K
Principal Data Scientist
Yoodli · Seattle, WA
$200K–$220K
Forward Deployed Applied Scientist I
DigitalOcean Holdings · Seattle, WA
$139K–$174K
Director of Research, Agentic AI
DigitalOcean Holdings · Seattle, WA
$249K–$312K
$188K–$235K
$347K–$385K
$125K–$150K
Agentic AI Engineer, Seattle
TaxBit · Seattle, WA
$130K–$170K
People Analytics AI Engineer
Samsara · Seattle, WA
$146K–$221K
$437K–$485K
Senior Applied Scientist
Hippocratic AI · Seattle, WA
Senior AI Enablement Specialist
LevelTen Energy · Seattle, WA
$140K–$180K
Senior ML Engineer
AZX · Seattle, WA
$140K–$230K
Senior Machine Learning Engineer, Computer Vision
Metropolis Technologies · Seattle, WA
$175K–$215K
View all 29 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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