$205,000
median · per year, annualized USD
$212,500
median · per year, annualized USD
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)
Machine Learning Engineer, Integrity
Principal Machine Learning Engineer, Ads Delivery
Machine Learning Engineer, Speech LLM Training - San Francisco
Senior Machine Learning Engineer, Ad Serving
| Company | Median | Roles |
|---|---|---|
Reddit
|
$276,000 | 18 |
Pinterest
|
$260,867 | 17 |
Motional
|
$185,500 | 17 |
Roblox
|
$297,743 | 14 |
Airbnb
|
$274,500 | 14 |
Torc Robotics
|
$249,000 | 11 |
Nuro
|
$242,540 | 10 |
Applied Intuition
|
$173,500 | 10 |
| Company | Median | Roles |
|---|---|---|
Robinhood
|
$201,752 | 2 |
DriveWealth
|
$295,000 | 1 |
Mesh
|
$175,000 | 1 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $240,000 | 164 |
| Austin | $235,000 | 11 |
| New York | $225,000 | 100 |
| Seattle | $212,444 | 39 |
| Los Angeles | $205,000 | 11 |
| Boston | $200,000 | 41 |
| Toronto | $195,000 | 29 |
| Paris | $185,000 | 6 |
| Atlanta | $174,825 | 8 |
| Chicago | $173,875 | 12 |
The median for ML Engineer is $205,000 per year (typically $173,500–$250,000), versus $212,500 for Web3 ($169,626–$261,250). That puts Web3 about 4% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so ML Engineer and Web3 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.