$190,000
median · per year, annualized USD
$187,500
median · per year, annualized USD
Staff+ Application Security Engineer
Staff+ Application Security Engineer - M&A
Staff Engineer - Product Security
Senior Staff Engineer - Product Security
Product & Application Security Engineer
Senior Security Engineer, Product AppSec
Principal Software Engineer II - Product Security
Security Engineer, Application Security
Staff Engineer - Product Security
Principal Security Software Engineer, Application Security
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 |
|---|---|---|
Anduril Industries
|
$204,500 | 8 |
Mozilla
|
$85,751 | 5 |
Faire
|
$422,240 | 4 |
Veeam Software
|
$315,000 | 4 |
Harvey
|
$275,000 | 3 |
Brex
|
$216,000 | 3 |
Airwallex
|
$205,000 | 3 |
SpaceX
|
$202,500 | 3 |
| 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 |
|---|---|---|
| New York | $237,500 | 27 |
| San Francisco | $232,500 | 47 |
| Chicago | $213,750 | 7 |
| Seattle | $200,000 | 11 |
| Boston | $195,000 | 4 |
| Austin | $187,500 | 5 |
| Toronto | $185,000 | 11 |
| Denver | $177,500 | 5 |
| Los Angeles | $150,000 | 7 |
| London | $131,502 | 3 |
The median for Application Security is $190,000 per year (typically $159,735–$235,000), versus $187,500 for MLOps ($147,500–$236,325). That puts Application Security about 1% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Application Security 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.