$205,841
mediana · por año, USD anualizado
$187,500
mediana · por año, USD anualizado
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 | Puestos |
|---|---|---|
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 | Puestos |
|---|---|---|
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 |
| Ubicación | Mediana | Puestos |
|---|---|---|
| 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 |
La mediana de ML Engineer es de $205,841 por año (normalmente $175,000–$250,750), frente a $187,500 de MLOps ($147,500–$236,325). Eso pone a ML Engineer alrededor de un 10% 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.