Median salary
$207,500
per year · annualized USD
Typical range
$182.9k – $252.6k
25th–75th percentile
Disclosing pay
84.7%
61 of 72 roles
Live roles
72
open right now
Staff Backline Engineer – ML/AI
Principal Machine Learning Engineer, Signals and Measurement
Principal Machine Learning Engineer, Platform Integrity Engineering, Level 7
Expression of Interest: Machine Learning Engineer
Principal Software Development Engineer, ML-Powered Flight Search
Staff Machine Learning Engineer, Public Sector
Staff Software Engineer, ML Feature Store
Staff Machine Learning Engineer, Diffusion, Generative Modeling and Inference
| Company | Median | Roles |
|---|---|---|
Snap Inc.
|
$261,000 | 10 |
General Motors
|
$203,000 | 7 |
| SA Scale AI | $245,000 | 3 |
| AX Axon | $195,975 | 3 |
Extremenetworks
|
$185,000 | 3 |
Accenture Federal Services
|
$155,900 | 3 |
Booz Allen Hamilton
|
$126,800 | 3 |
Altana
|
$247,500 | 2 |
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The median salary for ML Engineer roles in Washington is $207,500 per year. Most pay falls between $182,850 (25th percentile) and $252,600 (75th percentile), with the broader 10th–90th percentile band running from $150,143 to $287,440.
These figures are computed live from 72 active ML Engineer roles in Washington on JobsRadar, of which 61 (84.7%) 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 Databricks, Snap Inc., Moloco and Expedia Group.
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.