$200,000
mediana · por año, USD anualizado
$187,500
mediana · por año, USD anualizado
Senior Software Engineer, Machine Learning (Audio)
Senior/Staff Full Stack Engineer, Applied AI
Senior/Staff Backend Engineer, Applied AI
Backend Engineer, AI
Machine Learning Engineer - Fraud Risk
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Senior AI Security Engineer II
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 |
|---|---|---|
Mindrift
|
$156,000 | 55 |
OpenAI
|
$239,000 | 39 |
Handshake
|
$252,500 | 23 |
| SE Sezzle | $85,000 | 23 |
Databricks
|
$224,163 | 22 |
Motional
|
$200,500 | 21 |
Grafana Labs
|
$145,807 | 20 |
Reddit
|
$276,000 | 19 |
| 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 |
|---|---|---|
| Singapore | $250,000 | 5 |
| San Francisco | $226,750 | 462 |
| New York | $220,000 | 350 |
| Seattle | $205,500 | 95 |
| Chicago | $205,000 | 37 |
| Los Angeles | $200,000 | 33 |
| Bangalore | $194,838 | 3 |
| Austin | $194,500 | 45 |
| Sydney | $190,000 | 3 |
| Toronto | $187,359 | 61 |
La mediana de AI Engineer es de $200,000 por año (normalmente $165,000–$243,109), frente a $187,500 de MLOps ($147,500–$236,325). Eso pone a AI Engineer alrededor de un 7% 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 AI 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.