$187,500
median · per year, annualized USD
$233,650
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
Associate General Counsel, Product and Privacy
Director, Corporate Counsel - Privacy
Senior Privacy & AI Counsel, San Francisco, CA (Hybrid) (963-SLS)
Associate General Counsel, Privacy & Compliance
Senior Counsel, Privacy and Compliance
Associate General Counsel, Product & Privacy
Product & Privacy Counsel
Senior Product & Privacy Counsel
Senior Privacy Counsel
Privacy Counsel
| 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 |
|---|---|---|
| SA Scale AI | $297,900 | 1 |
Okta
|
$285,000 | 1 |
Recursion
|
$280,830 | 1 |
Solutuslegal
|
$270,000 | 1 |
Neuralink
|
$253,000 | 1 |
Nova Credit
|
$252,350 | 1 |
Verkada
|
$245,000 | 1 |
Nextdoor
|
$240,000 | 1 |
| Location | Median | Roles |
|---|---|---|
| New York | $252,350 | 5 |
| San Francisco | $233,650 | 9 |
The median for MLOps is $187,500 per year (typically $147,500–$236,325), versus $233,650 for Privacy Officer ($206,254–$252,350). That puts Privacy Officer about 25% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so MLOps and Privacy Officer 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.