$200,455
median · per year, annualized USD
$190,000
median · per year, annualized USD
Senior/Staff Full Stack Engineer, Applied AI
Senior/Staff Backend Engineer, Applied AI
Senior Software Engineer, Machine Learning (Audio)
Machine Learning Engineer - Fraud Risk
Backend Engineer, AI
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
Senior AI Security Engineer II
Data Scientist
Senior Data Scientist (Credit)
Senior Data Scientist (Credit)
Senior Data Scientist (Credit)
Data Scientist, Identity
Data Scientist
Applied Scientist
Data Scientist, Supply
Data Scientist, Developer Productivity
Machine Learning Scientist
| Company | Median | Roles |
|---|---|---|
OpenAI
|
$239,000 | 37 |
Mindrift
|
$312,000 | 31 |
Handshake
|
$252,500 | 22 |
Databricks
|
$224,163 | 22 |
Motional
|
$200,500 | 21 |
Pinterest
|
$265,928 | 20 |
Reddit
|
$276,000 | 19 |
Applied Intuition
|
$173,500 | 18 |
| Location | Median | Roles |
|---|---|---|
| Singapore | $250,000 | 4 |
| San Francisco | $229,756 | 466 |
| New York | $220,000 | 350 |
| Seattle | $205,500 | 97 |
| Los Angeles | $200,000 | 33 |
| Chicago | $197,500 | 36 |
| Austin | $196,000 | 44 |
| Bangalore | $194,838 | 3 |
| Sydney | $190,000 | 3 |
| Toronto | $187,500 | 59 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $212,160 | 160 |
| New York | $190,000 | 138 |
| Seattle | $188,750 | 46 |
| Austin | $187,500 | 9 |
| Denver | $187,500 | 6 |
| Los Angeles | $183,750 | 16 |
| Boston | $182,500 | 29 |
| London | $160,895 | 21 |
| Toronto | $156,000 | 27 |
| Chicago | $153,300 | 21 |
The median for AI Engineer is $200,455 per year (typically $165,350–$243,750), versus $190,000 for Data Scientist ($150,000–$229,900). That puts AI Engineer about 6% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so AI Engineer and Data 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.