$187,500
mediana · por año, USD anualizado
$220,063
mediana · por año, USD anualizado
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
Senior Staff Full Stack Engineer ($500k - $1.5m salary)
Senior Staff Backend Engineer ($500k - $1.5m salary)
Senior Staff Frontend Engineer ($500k - $1.5m salary)
Senior Staff React Native Engineer ($500k - 1.5m salary)
Staff Software Engineer (Backend)
Senior/Staff Backend Engineer, Applied AI
Senior/Staff Full Stack Engineer, Applied AI
Research Engineer (Senior Staff+), Safeguards Labs
Staff Research Engineer, Discovery Team
Senior Staff+ Software Engineer, Node Infra
| 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 |
| Empresa | Mediana | Puestos |
|---|---|---|
Anduril Industries
|
$222,000 | 111 |
Databricks
|
$226,000 | 77 |
Anthropic
|
$405,000 | 57 |
Crusoe
|
$231,000 | 45 |
Grafana Labs
|
$147,923 | 45 |
Aurora Innovation
|
$231,500 | 40 |
Archer
|
$192,500 | 37 |
Okta
|
$206,000 | 34 |
| Ubicación | Mediana | Puestos |
|---|---|---|
| Dublin | $257,300 | 5 |
| Seattle | $250,000 | 154 |
| San Francisco | $245,000 | 625 |
| New York | $239,700 | 466 |
| Austin | $228,750 | 52 |
| Chicago | $227,250 | 44 |
| Los Angeles | $221,000 | 64 |
| Denver | $210,500 | 47 |
| Boston | $210,000 | 97 |
| London | $206,683 | 47 |
La mediana de MLOps es de $187,500 por año (normalmente $147,500–$236,325), frente a $220,063 de Staff Engineer ($188,813–$250,000). Eso pone a Staff Engineer alrededor de un 17% 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 MLOps y Staff Engineer 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.