$187,000
mediana · por ano, anualizado em USD
$173,500
mediana · por ano, anualizado em USD
Machine Learning Engineer, Inference & Serving (Speech LLM) - San Francisco
Principal Machine Learning Engineer- LLM Fine-tuning and Optimization
Machine Learning Engineer, Speech LLM Training - 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, Node Infra
Staff Software Engineer, Kubernetes Platform
Staff Software Engineer, Code RL
Staff+ Software Engineer, Developer Productivity
Staff Software Engineer, Claude Code
Staff Software Engineer, Environments Infrastructure
| Empresa | Mediana | Funções |
|---|---|---|
Northrop Grumman
|
$136,000 | 341 |
Anduril Industries
|
$221,000 | 292 |
Booz Allen Hamilton
|
$126,800 | 184 |
Leidos
|
$122,275 | 162 |
OpenAI
|
$355,500 | 142 |
CACI
|
$139,950 | 142 |
SpaceX
|
$142,500 | 124 |
Blue Origin
|
$197,582 | 108 |
| Local | Mediana | Funções |
|---|---|---|
| San Francisco | $237,500 | 5 |
| New York | $226,000 | 3 |
| Local | Mediana | Funções |
|---|---|---|
| Sydney | $431,406 | 5 |
| San Francisco | $225,250 | 1,572 |
| New York | $212,225 | 1,430 |
| Seattle | $202,000 | 609 |
| Boston | $185,000 | 259 |
| Los Angeles | $183,075 | 228 |
| London | $181,500 | 135 |
| Austin | $173,350 | 206 |
| Atlanta | $162,000 | 167 |
| Chicago | $161,000 | 217 |
A mediana para Prompt Engineer é $187,000 por ano (normalmente $137,725–$231,950), contra $173,500 para Software Engineer ($135,000–$215,000). Isso coloca Prompt Engineer cerca de 8% à frente na mediana.
Ambos os números são calculados ao vivo a partir de vagas ativas na JobsRadar e normalizados para USD anualizado, então Prompt Engineer e Software Engineer são comparados em igualdade de condições, independentemente da moeda em que cada vaga foi originalmente publicada. Apenas as vagas que publicam uma faixa salarial alimentam as medianas; os números são atualizados a cada poucas horas conforme novas vagas são publicadas e as antigas são encerradas, então esta comparação reflete o mercado agora, e não uma pesquisa fixa. Use-a como referência direcional ao pesar um caminho contra o outro.