Median salary
$200,000
per year · annualized USD
Typical range
$177.9k – $232.6k
25th–75th percentile
Disclosing pay
71.1%
27 of 38 roles
Live roles
38
open right now
Expression of Interest: Machine Learning Engineer
Research Engineer, AI/ML Systems
Staff Machine Learning Engineer, Foundation - Seattle
Principal Machine Learning Engineer
Senior Machine Learning Engineer, Public Sector
Staff ML Ops Engineer
Staff ML Engineer, Product
Senior AI/ML Test and Evaluation Engineer
| Company | Median | Roles |
|---|---|---|
MetroStar
|
$230,000 | 4 |
Qualtrics
|
$223,500 | 2 |
Lightning AI
|
$218,750 | 2 |
| AX Axon | $213,038 | 2 |
OpenTeams
|
$197,500 | 2 |
Extremenetworks
|
$187,500 | 2 |
PitchBook Data
|
$178,750 | 2 |
Accenture Federal Services
|
$155,900 | 2 |
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The median salary for ML Engineer roles in Washington is $200,000 per year. Most pay falls between $177,850 (25th percentile) and $232,550 (75th percentile), with the broader 10th–90th percentile band running from $157,720 to $251,130.
These figures are computed live from 38 active ML Engineer roles in Washington on JobsRadar, of which 27 (71.1%) 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 Washington include Moloco, Lightning AI, Qualtrics and Axon.
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.