$190,000
median · per year, annualized USD
$187,500
median · per year, annualized USD
Platform Engineer
Senior Staff+ Software Engineer, Kubernetes Platform
Senior Security Platform Engineer I
Agent Platform Engineer
Software Engineer, Platform
Infrastructure and Platform Engineer, Metal
Infrastructure and Platform Development Engineer
Principal Engineer, AI Platform
Member of Technical Staff (Software Engineer, Inference & Training Platform)
Senior Staff+ Software Engineer, Kubernetes Platform
Senior Machine Learning Engineer, DevOps/SRE
Staff Machine Learning Operations Engineer
Senior Data Engineer, MLOps [Remote-US]
Senior, ML Engineer - ML Ops Framework
Senior, ML Engineer - ML Ops Framework
Senior Machine Learning Operations Engineer
Staff ML/LLM Ops Engineer
Sr. Machine Learning Ops Engineer
DoD MLOps Software Engineer
Sr. Machine Learning Ops Engineer
| Company | Median | Roles |
|---|---|---|
Accenture Federal Services
|
$151,800 | 27 |
Air Apps
|
$65,184 | 22 |
Captivation Software
|
$200,000 | 21 |
Reddit
|
$244,500 | 18 |
Coinbase
|
$219,873 | 14 |
Anduril Industries
|
$222,000 | 13 |
Airwallex
|
$162,878 | 13 |
Whoop
|
$161,250 | 12 |
| Company | Median | Roles |
|---|---|---|
Garner Health
|
$297,500 | 2 |
Torc Robotics
|
$249,000 | 2 |
Quanata
|
$256,500 | 1 |
Roku
|
$254,875 | 1 |
LVT
|
$242,650 | 1 |
Hayden AI
|
$230,000 | 1 |
Instacart
|
$212,750 | 1 |
Cimgroup
|
$200,000 | 1 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $225,500 | 243 |
| Seattle | $211,250 | 60 |
| New York | $210,000 | 206 |
| Los Angeles | $200,650 | 18 |
| Chicago | $195,000 | 31 |
| Austin | $193,250 | 27 |
| Denver | $185,000 | 27 |
| Boston | $182,500 | 59 |
| Toronto | $165,000 | 50 |
| Atlanta | $161,500 | 10 |
The median for DevOps is $190,000 per year (typically $150,078–$225,000), versus $187,500 for MLOps ($147,500–$236,325). That puts DevOps about 1% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so DevOps and MLOps are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.