$187,500
mediana · por año, USD anualizado
$219,375
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
Research Scientist, Interpretability
Research Engineer/Research Scientist, Pre-training
Research Engineer / Research Scientist -Personal AGI, Proactivity
Research Engineer / Research Scientist- Personal AGI (Post Training)
Research Engineer / Research Scientist - Personal AGI, Personality and Model Behavior
Research Engineer/Research Scientist - Personal AGI, North Stars
Research Engineer / Research Scientist, Tokens
Staff / Principal Research Scientist - USA
Research Engineer / Scientist, Alignment
[Expression of Interest] Research Engineer / Scientist, Alignment - London
| 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 |
|---|---|---|
Anthropic
|
$402,500 | 11 |
Anduril Industries
|
$221,000 | 8 |
Astera Institute
|
$225,000 | 7 |
Waabi
|
$212,750 | 6 |
OpenAI
|
$425,000 | 5 |
| SA Scale AI | $243,000 | 5 |
Nuro
|
$229,900 | 5 |
World Labs
|
$300,000 | 4 |
| Ubicación | Mediana | Puestos |
|---|---|---|
| Boston | $275,000 | 8 |
| San Francisco | $265,000 | 66 |
| Seattle | $252,725 | 10 |
| New York | $243,000 | 37 |
| Toronto | $212,000 | 8 |
| London | $203,341 | 10 |
| Los Angeles | $80,000 | 3 |
La mediana de MLOps es de $187,500 por año (normalmente $147,500–$236,325), frente a $219,375 de Research Scientist ($176,950–$275,000). Eso pone a Research Scientist 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 Research Scientist 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.