Median salary
$194,500
per year · annualized USD
Typical range
$183.5k – $239.1k
25th–75th percentile
Disclosing pay
37.5%
12 of 32 roles
Live roles
32
open right now
Senior Machine Learning Engineer, DevOps/SRE
Staff Machine Learning Operations Engineer
Staff Engineer - ML Infra / MLOps
Lead Software Platform Engineer, MLOps
Senior ML Ops Engineer (Machine Learning Infrastructure)
MLOps Engineer (JAX, PyTorch, Pallas/Triton)
Senior Machine Learning Engineer, Operations Research
Software Engineer, MLOps - Machine Learning
| Company | Median | Roles |
|---|---|---|
Garner Health
|
$324,500 | 1 |
Roku
|
$254,875 | 1 |
Quince
|
$251,500 | 1 |
TetraScience
|
$235,000 | 1 |
Instacart
|
$212,750 | 1 |
Parallel Systems
|
$200,000 | 1 |
Baton (A Ryder Technology Lab)
|
$189,000 | 1 |
Mercury
|
$187,450 | 1 |
See every MLOps role
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The median salary for MLOps roles in United States is $194,500 per year. Most pay falls between $183,525 (25th percentile) and $239,125 (75th percentile), with the broader 10th–90th percentile band running from $163,500 to $254,538.
These figures are computed live from 32 active MLOps roles in United States on JobsRadar, of which 12 (37.5%) 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 MLOps roles in United States include Roku, Garner Health, Quince and TetraScience.
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.