$205,841
mediana · por ano, anualizado em USD
$187,500
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
Senior Machine Learning Engineer, DevOps/SRE
Staff Machine Learning Operations Engineer
Senior Data Engineer, MLOps [Remote-US]
Senior, ML Engineer - ML Ops Framework
Senior, ML Engineer - ML Ops Framework
Senior Machine Learning Operations Engineer
Staff ML/LLM Ops Engineer
Sr. Machine Learning Ops Engineer
DoD MLOps Software Engineer
Sr. Machine Learning Ops Engineer
| Empresa | Mediana | Funções |
|---|---|---|
Reddit
|
$276,000 | 18 |
Pinterest
|
$260,867 | 18 |
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 |
| Empresa | Mediana | Funções |
|---|---|---|
Garner Health
|
$297,500 | 2 |
Torc Robotics
|
$249,000 | 2 |
Quanata
|
$256,500 | 1 |
Roku
|
$254,875 | 1 |
LVT
|
$242,650 | 1 |
Hayden AI
|
$230,000 | 1 |
Instacart
|
$212,750 | 1 |
Cimgroup
|
$200,000 | 1 |
| Local | Mediana | Funções |
|---|---|---|
| San Francisco | $240,000 | 168 |
| Austin | $230,000 | 12 |
| New York | $225,000 | 102 |
| Seattle | $212,444 | 41 |
| Los Angeles | $205,000 | 11 |
| Boston | $200,000 | 42 |
| Toronto | $195,000 | 27 |
| Paris | $185,000 | 6 |
| Denver | $175,000 | 5 |
| Atlanta | $174,825 | 8 |
A mediana para ML Engineer é $205,841 por ano (normalmente $175,000–$250,750), contra $187,500 para MLOps ($147,500–$236,325). Isso coloca ML Engineer cerca de 10% 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 MLOps 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.