$187,500
median · per year, annualized USD
$219,375
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
Research Scientist, Interpretability
Research Engineer/Research Scientist, Pre-training
Research Engineer / Research Scientist -Personal AGI, Proactivity
Research Engineer / Research Scientist- Personal AGI (Post Training)
Research Engineer / Research Scientist - Personal AGI, Personality and Model Behavior
Research Engineer/Research Scientist - Personal AGI, North Stars
Research Engineer / Research Scientist, Tokens
Staff / Principal Research Scientist - USA
Research Engineer / Scientist, Alignment
[Expression of Interest] Research Engineer / Scientist, Alignment - London
| 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 |
|---|---|---|
Anthropic
|
$402,500 | 11 |
Anduril Industries
|
$221,000 | 8 |
Astera Institute
|
$225,000 | 7 |
Waabi
|
$212,750 | 6 |
OpenAI
|
$425,000 | 5 |
| SA Scale AI | $243,000 | 5 |
Nuro
|
$229,900 | 5 |
World Labs
|
$300,000 | 4 |
| Location | Median | Roles |
|---|---|---|
| Boston | $275,000 | 8 |
| San Francisco | $265,000 | 66 |
| Seattle | $252,725 | 10 |
| New York | $243,000 | 37 |
| Toronto | $212,000 | 8 |
| London | $203,341 | 10 |
| Los Angeles | $80,000 | 3 |
The median for MLOps is $187,500 per year (typically $147,500–$236,325), versus $219,375 for Research Scientist ($176,950–$275,000). That puts Research Scientist about 17% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so MLOps and Research Scientist 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.