$187,500
median · per year, annualized USD
$195,000
median · per year, annualized USD
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
Platform Engineer
Senior Staff+ Software Engineer, Kubernetes Platform
Staff+ Infrastructure Engineer, Cluster Infrastructure
Software Engineer, Research Infrastructure
Senior Security Platform Engineer I
Principal .NET Software Engineer- Cloud Payments Platform
Principal .NET Software Engineer - Cloud Payments Platform
Staff+ Software Engineer, Safeguards Infrastructure
SOC Emulation Engineer - Hardware Emulation Infrastructure
Infrastructure Engineer
| 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 |
| Company | Median | Roles |
|---|---|---|
Speechify
|
$170,000 | 103 |
OpenAI
|
$308,250 | 28 |
Nuro
|
$200,450 | 24 |
Palantir
|
$167,500 | 24 |
Databricks
|
$225,000 | 21 |
Coinbase
|
$202,483 | 20 |
Reddit
|
$244,500 | 18 |
Anduril Industries
|
$222,000 | 18 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $228,500 | 413 |
| Seattle | $214,250 | 110 |
| New York | $210,000 | 320 |
| Austin | $202,500 | 39 |
| Los Angeles | $187,500 | 31 |
| Boston | $185,000 | 64 |
| Toronto | $185,000 | 61 |
| Chicago | $183,000 | 22 |
| Denver | $180,000 | 29 |
| Atlanta | $170,000 | 10 |
The median for MLOps is $187,500 per year (typically $147,500–$236,325), versus $195,000 for Platform Engineer ($166,525–$230,000). That puts Platform Engineer about 4% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so MLOps and Platform Engineer 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.