$200,455
median · per year, annualized USD
$198,750
median · per year, annualized USD
Senior/Staff Backend Engineer, Applied AI
Senior/Staff Full Stack 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 (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Senior AI Security Engineer II
Machine Learning Engineer, Speech LLM Training - San Francisco
Principal Machine Learning Engineer- LLM Fine-tuning and Optimization
Machine Learning Engineer, Model Evaluations (Speech LLM) - San Francisco
Machine Learning Engineer, Inference & Serving (Speech LLM) - San Francisco
Machine Learning Engineer, LLM Evals & Observability
Machine Learning Engineer, LLM Evals & Observability
Principal LLM Inference Engineer
Staff Attack Engineer, AI/LLM
Staff ML/LLM Ops Engineer
Software Engineer, Artificial Intelligence/LLM (Multiple Seniority Levels)
| 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 | $230,000 | 465 |
| New York | $220,000 | 351 |
| Seattle | $205,500 | 98 |
| Chicago | $205,000 | 35 |
| Los Angeles | $200,000 | 33 |
| Austin | $197,500 | 45 |
| Bangalore | $194,838 | 3 |
| Sydney | $190,000 | 3 |
| Boston | $185,500 | 88 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $250,000 | 7 |
| New York | $197,500 | 3 |
The median for AI Engineer is $200,455 per year (typically $165,350–$243,750), versus $198,750 for Prompt Engineer ($180,000–$243,238). That puts AI Engineer about 1% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so AI Engineer and Prompt 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.