$187,000
median · per year, annualized USD
$173,500
median · per year, annualized USD
Machine Learning Engineer, Speech LLM Training - San Francisco
Principal Machine Learning Engineer- LLM Fine-tuning and Optimization
Machine Learning Engineer, Inference & Serving (Speech LLM) - San Francisco
Staff Machine Learning Engineer - LLM Quantization & Deployment
Senior Research Engineer, LLM Training & Post-Training
Senior / Prompt Engineer (AI/ML), Brand Concierge
Senior Machine Learning Engineer - LLM Quantization & Deployment
Intermediate/ Senior Software Engineer - Cortex LLM Training Platform
Senior Staff LLM Inference Engineer
Staff Attack Engineer, AI/LLM
Senior Software Engineer, Machine Learning (Audio)
Software Engineer, ML Networking
Lead Software Engineer
Senior Software Engineer
Staff Software Engineer, Kubernetes Platform
Staff Software Engineer, Node Infra
Staff Software Engineer, Code RL
Staff+ Software Engineer, Developer Productivity
Staff Software Engineer, Claude Code
Staff Software Engineer, Environments Infrastructure
| Company | Median | Roles |
|---|---|---|
Northrop Grumman
|
$136,000 | 341 |
Anduril Industries
|
$221,000 | 292 |
Booz Allen Hamilton
|
$126,800 | 185 |
Leidos
|
$122,275 | 162 |
OpenAI
|
$355,500 | 142 |
CACI
|
$139,950 | 142 |
SpaceX
|
$142,500 | 124 |
Blue Origin
|
$197,582 | 108 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $237,500 | 5 |
| New York | $226,000 | 3 |
| Location | Median | Roles |
|---|---|---|
| Sydney | $431,406 | 5 |
| San Francisco | $225,000 | 1,573 |
| New York | $212,225 | 1,430 |
| Seattle | $202,000 | 609 |
| Boston | $185,000 | 259 |
| Los Angeles | $183,075 | 228 |
| London | $181,500 | 135 |
| Austin | $171,700 | 207 |
| Atlanta | $162,000 | 167 |
| Chicago | $161,000 | 217 |
The median for Prompt Engineer is $187,000 per year (typically $137,725–$231,950), versus $173,500 for Software Engineer ($135,000–$215,000). That puts Prompt Engineer about 8% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Prompt Engineer and Software 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.