ML Engineer salaries in Seattle.
What ML Engineer roles in Seattle pay, from live listings on JobsRadar.
Compare with anotherMedian salary
$213,300
per year · annualized USD
Typical range
$180k – $260.9k
25th–75th percentile
Disclosing pay
71.9%
41 of 57 roles
Live roles
57
open right now
Salary trend
median · annualized USDSalary distribution
annualized USD · disclosed rolesHighest-paying jobs
Principal Machine Learning Engineer, Ads Delivery
Sr. Staff Machine Learning Engineer, Monetization Engineering
Staff Machine Learning Engineer, Ads Conversion Core Modeling
Staff Machine Learning Engineer, Programmatic Ads
Expression of Interest: Machine Learning Engineer
Senior Staff Machine Learning Engineer, Consumer
Staff Machine Learning Engineer, Credit Products (Square Financial Services)
Sr. Machine Learning Engineer, Monetization Engineering
Top companies hiring
| Company | Median | Roles |
|---|---|---|
|
Pinterest
|
$283,551 | 8 |
Qualtrics
|
$235,250 | 3 |
| AX Axon | $203,775 | 3 |
|
DoorDash USA
|
$169,350 | 3 |
| SA Scale AI | $255,600 | 2 |
DigitalOcean
|
$236,700 | 2 |
Docker
|
$224,750 | 2 |
PitchBook Data
|
$178,750 | 2 |
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How much do ML Engineer roles in Seattle pay?
The median salary for ML Engineer roles in Seattle is $213,300 per year. Most pay falls between $180,000 (25th percentile) and $260,867 (75th percentile), with the broader 10th–90th percentile band running from $169,350 to $299,900.
These figures are computed live from 57 active ML Engineer roles in Seattle on JobsRadar, of which 41 (71.9%) publish a salary range. Pay is normalized to annualized USD so roles can be compared on equal terms; the highest-paying roles listed above show their original posted currency. Numbers refresh every few hours as new roles are posted and older ones close.
Employers currently hiring well-paid ML Engineer roles in Seattle include Pinterest, Moloco, DoorDash USA and Block.
Salary transparency varies by employer and region, so the disclosing share above reflects only roles that publish pay — not every open position. Use it as a directional benchmark rather than an exact offer.