$211,910
mediana · por ano, anualizado em USD
$189,000
mediana · por ano, anualizado em USD
Senior Software Engineer, Machine Learning (Audio)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
Software Engineer, ML Networking
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
Machine Learning Engineer, Integrity
Principal Machine Learning Engineer, Ads Delivery
Staff Machine Learning Engineer, Ad Serving
Senior Machine Learning Engineer, Search
Senior Machine Learning Engineer, DevOps/SRE
Staff Machine Learning Operations Engineer
Staff Engineer - ML Infra / MLOps
Staff ML Ops Engineer
Lead Software Platform Engineer, MLOps
Senior ML Ops Engineer (Machine Learning Infrastructure)
MLOps Engineer
MLOps Engineer (JAX, PyTorch, Pallas/Triton)
ML Ops Infrastructure Engineer
Senior Machine Learning Engineer, Operations Research
| Empresa | Mediana | Funções |
|---|---|---|
Nuro
|
$242,540 | 16 |
Torc Robotics
|
$195,050 | 16 |
Reddit
|
$276,000 | 14 |
Pinterest
|
$260,867 | 13 |
Airbnb
|
$238,500 | 13 |
Roku
|
$294,750 | 12 |
DoorDash USA
|
$169,350 | 12 |
Roblox
|
$311,785 | 11 |
| Empresa | Mediana | Funções |
|---|---|---|
Torc Robotics
|
$142,650 | 2 |
Garner Health
|
$324,500 | 1 |
Roku
|
$254,875 | 1 |
Quince
|
$251,500 | 1 |
LVT
|
$242,650 | 1 |
TetraScience
|
$235,000 | 1 |
| AM Atomic Machines | $225,000 | 1 |
Instacart
|
$212,750 | 1 |
| Local | Mediana | Funções |
|---|---|---|
| Chicago | $275,000 | 5 |
| Singapore | $260,000 | 3 |
| San Francisco | $249,410 | 160 |
| Austin | $235,000 | 9 |
| Boston | $233,750 | 20 |
| Los Angeles | $230,000 | 14 |
| New York | $228,000 | 94 |
| Seattle | $220,300 | 47 |
| London | $195,018 | 15 |
| Denver | $188,750 | 6 |
A mediana para ML Engineer é $211,910 por ano (normalmente $175,000–$255,700), contra $189,000 para MLOps ($152,900–$225,000). Isso coloca ML Engineer cerca de 12% 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.