$211,910
mediana · por año, USD anualizado
$189,000
mediana · por año, USD anualizado
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 | Puestos |
|---|---|---|
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 | Puestos |
|---|---|---|
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 |
| Ubicación | Mediana | Puestos |
|---|---|---|
| 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 |
La mediana de ML Engineer es de $211,910 por año (normalmente $175,000–$255,700), frente a $189,000 de MLOps ($152,900–$225,000). Eso pone a ML Engineer alrededor de un 12% por delante en la mediana.
Ambas cifras se calculan en vivo a partir de ofertas activas en JobsRadar y se normalizan a USD anualizado, de modo que ML Engineer y MLOps se comparan en igualdad de condiciones independientemente de la moneda en la que se publicó originalmente cada puesto. Solo los puestos que publican un rango salarial alimentan las medianas; las cifras se actualizan cada pocas horas a medida que se publican nuevos puestos y se cierran los antiguos, así que esta comparación refleja el mercado actual y no una encuesta fija. Úsala como referencia orientativa al sopesar un camino frente a otro.