$200,000
median · per year, annualized USD
$203,710
median · per year, annualized USD
Lead Software Engineer, Generative AI
Senior Software Engineer, Generative AI
Senior/Staff Backend Engineer, Applied AI
Senior/Staff Full Stack Engineer, Applied AI
Backend Engineer, AI
Machine Learning Engineer - Fraud Risk
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
Machine Learning Engineer - Fraud Risk
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
ML Systems Engineer
Machine Learning Engineer, Integrity
Principal Machine Learning Engineer, Ads Delivery
Machine Learning Engineer, Inference & Serving (Speech LLM) - San Francisco
Machine Learning Engineer, Speech LLM Training - San Francisco
| Company | Median | Roles |
|---|---|---|
Mindrift
|
$72,800 | 47 |
OpenAI
|
$247,000 | 36 |
Unity Technologies
|
$198,550 | 34 |
Pinterest
|
$260,867 | 22 |
Motional
|
$200,500 | 22 |
| SE Sezzle | $70,499 | 22 |
Handshake
|
$252,500 | 20 |
Databricks
|
$221,553 | 20 |
| Company | Median | Roles |
|---|---|---|
Unity Technologies
|
$198,550 | 29 |
Pinterest
|
$260,867 | 19 |
Motional
|
$200,500 | 18 |
Reddit
|
$276,000 | 16 |
Roblox
|
$277,250 | 14 |
Torc Robotics
|
$227,325 | 12 |
Airbnb
|
$274,500 | 11 |
DoorDash USA
|
$169,350 | 11 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $233,925 | 178 |
| Los Angeles | $221,250 | 8 |
| New York | $214,150 | 126 |
| Seattle | $213,300 | 41 |
| Austin | $203,750 | 12 |
| Boston | $200,500 | 44 |
| Toronto | $195,000 | 27 |
| Singapore | $187,200 | 3 |
| Chicago | $182,500 | 14 |
| London | $175,072 | 16 |
The median for AI Engineer is $200,000 per year (typically $162,000–$237,500), versus $203,710 for ML Engineer ($172,500–$249,038). That puts ML Engineer about 2% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so AI Engineer 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.