$205,841
mediana · por ano, anualizado em USD
$198,750
mediana · por ano, anualizado em USD
Senior Software Engineer, Machine Learning (Audio)
Machine Learning Engineer - Fraud Risk
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
Machine Learning Engineer, Integrity
Principal Machine Learning Engineer, Ads Delivery
Machine Learning Engineer, Speech LLM Training - San Francisco
Senior Machine Learning Engineer, Ad Serving
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)
| Empresa | Mediana | Funções |
|---|---|---|
Reddit
|
$276,000 | 18 |
Pinterest
|
$260,867 | 17 |
Motional
|
$185,500 | 17 |
Roblox
|
$297,743 | 14 |
Airbnb
|
$274,500 | 14 |
Torc Robotics
|
$249,000 | 11 |
Nuro
|
$242,540 | 10 |
Applied Intuition
|
$173,500 | 10 |
| Local | Mediana | Funções |
|---|---|---|
| San Francisco | $240,000 | 166 |
| Austin | $235,000 | 11 |
| New York | $225,000 | 100 |
| Seattle | $212,444 | 39 |
| Los Angeles | $205,000 | 11 |
| Boston | $200,000 | 42 |
| Toronto | $195,000 | 29 |
| Paris | $185,000 | 6 |
| Atlanta | $174,825 | 8 |
| Chicago | $173,875 | 12 |
| Local | Mediana | Funções |
|---|---|---|
| San Francisco | $250,000 | 7 |
| New York | $197,500 | 3 |
A mediana para ML Engineer é $205,841 por ano (normalmente $175,000–$250,750), contra $198,750 para Prompt Engineer ($180,000–$243,238). Isso coloca ML Engineer cerca de 4% à frente na mediana.
Ambos os números são calculados ao vivo a partir de vagas ativas na JobsRadar e normalizados para USD anualizado, então ML Engineer e Prompt 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.