$187,500
mediana · por año, USD anualizado
$190,000
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
Technical Program Manager
Technical Program Manager
Director, RISC-V Software TPM & Ops
Staff Technical Program Manager, Physical Design
Technical Program Manager, Architecture
Technical Program Manager, Product Software
Technical Program Manager, Strategic Initiatives
Technical Program Manager, Hardware Chips Development
Technical Program Manager, Applied API & Product
Technical Program Manager, API Platform
| 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
|
$193,000 | 62 |
Anthropic
|
$345,000 | 14 |
Aurora Innovation
|
$221,500 | 14 |
OpenAI
|
$271,000 | 12 |
Fluidstack
|
$213,000 | 12 |
CoreWeave
|
$207,000 | 9 |
Scout Motors
|
$155,000 | 9 |
| SA Scale AI | $209,150 | 8 |
| Ubicación | Mediana | Puestos |
|---|---|---|
| San Francisco | $214,450 | 127 |
| London | $209,051 | 5 |
| Austin | $208,000 | 16 |
| New York | $203,000 | 86 |
| Seattle | $203,000 | 51 |
| Denver | $173,568 | 10 |
| Boston | $172,500 | 27 |
| Los Angeles | $164,500 | 10 |
| Chicago | $147,500 | 3 |
| Toronto | $130,000 | 13 |
La mediana de MLOps es de $187,500 por año (normalmente $147,500–$236,325), frente a $190,000 de Technical Product Manager ($155,000–$220,000). Eso pone a Technical Product Manager alrededor de un 1% 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 Technical Product Manager 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.