$155,000
median · per year, annualized USD
$186,528
median · per year, annualized USD
Mobile / Full Stack Staff & Software Engineer, Consumer Monetization
Mobile iOS Engineer
Mobile Android Engineer
Senior Software Engineer, Rips (Mobile)
Mobile Engineer
Software Engineer, Mobile Web — Dots
Android Engineer, Plugin Developer Platform
Design Engineer, Mobile
Mobile iOS Engineer
Mobile Android Engineer
Software Engineer, Tokens and Prompt Structures
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/Staff System Research Engineer – LLM Inference Optimization
Senior Research Engineer, LLM Training & Post-Training
Senior Machine Learning Engineer - LLM Quantization & Deployment
Intermediate/ Senior Software Engineer - Cortex LLM Training Platform
Lead ML Engineer - Advance AI (applied ML, LLM's, ML Ops)
| Location | Median | Roles |
|---|---|---|
| Seattle | $216,250 | 10 |
| San Francisco | $211,250 | 28 |
| New York | $195,500 | 33 |
| Los Angeles | $181,650 | 4 |
| Boston | $162,125 | 10 |
| Austin | $153,000 | 5 |
| Chicago | $151,538 | 4 |
| Paris | $143,151 | 3 |
| Toronto | $115,539 | 14 |
| London | $61,075 | 6 |
| Location | Median | Roles |
|---|---|---|
| San Francisco | $228,700 | 9 |
| New York | $203,175 | 6 |
| Seattle | $195,000 | 3 |
The median for Mobile Engineer is $155,000 per year (typically $103,772–$200,000), versus $186,528 for Prompt Engineer ($131,250–$231,950). That puts Prompt Engineer about 20% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Mobile 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.