$190,000
median · per year, annualized USD
$205,000
median · per year, annualized USD
Data Scientist
Senior Data Scientist (Credit)
Senior Data Scientist (Credit)
Senior Data Scientist (Credit)
Data Scientist, Identity
Data Scientist
Applied Scientist
Data Scientist, Developer Productivity
Data Scientist, Supply
Data Scientist, Business
Senior Software Engineer, Machine Learning (Audio)
Machine Learning Engineer - Fraud Risk
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
Forward Deployed Engineer, Machine Learning
Machine Learning Engineer, Integrity
Principal Machine Learning Engineer, Ads Delivery
Machine Learning Engineer, Speech LLM Training - San Francisco
| Company | Median | Roles |
|---|---|---|
Pinterest
|
$260,867 | 19 |
Roblox
|
$285,230 | 17 |
Reddit
|
$276,000 | 17 |
Motional
|
$185,500 | 17 |
Airbnb
|
$274,500 | 14 |
Torc Robotics
|
$227,325 | 12 |
Applied Intuition
|
$173,500 | 10 |
DoorDash USA
|
$169,350 | 10 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $210,910 | 166 |
| New York | $190,000 | 147 |
| Seattle | $188,750 | 42 |
| Austin | $187,500 | 10 |
| Denver | $187,500 | 7 |
| Boston | $182,500 | 32 |
| Los Angeles | $180,000 | 13 |
| Toronto | $177,500 | 31 |
| London | $166,258 | 19 |
| Berlin | $150,371 | 5 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $236,750 | 164 |
| Los Angeles | $221,250 | 8 |
| Seattle | $216,800 | 42 |
| New York | $215,000 | 109 |
| Austin | $207,500 | 11 |
| Boston | $192,750 | 40 |
| Toronto | $191,250 | 26 |
| Singapore | $187,200 | 3 |
| Paris | $185,000 | 6 |
| Atlanta | $174,825 | 8 |
The median for Data Scientist is $190,000 per year (typically $150,958–$227,016), versus $205,000 for ML Engineer ($173,500–$250,000). That puts ML Engineer about 8% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Data Scientist and ML 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.