$187,500
mediana · por ano, anualizado em USD
$220,063
mediana · por ano, anualizado em USD
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
Staff Research Engineer, Discovery Team
Research Engineer (Senior Staff+), Safeguards Labs
Senior Staff+ Software Engineer, Node Infra
| Empresa | Mediana | Funções |
|---|---|---|
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 | Funções |
|---|---|---|
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 | 38 |
Okta
|
$206,000 | 34 |
| Local | Mediana | Funções |
|---|---|---|
| Dublin | $257,300 | 5 |
| Seattle | $250,000 | 153 |
| San Francisco | $245,000 | 620 |
| New York | $240,000 | 464 |
| Austin | $228,750 | 52 |
| Chicago | $227,250 | 44 |
| Los Angeles | $221,000 | 64 |
| Boston | $210,000 | 97 |
| Denver | $208,587 | 46 |
| London | $206,683 | 47 |
A mediana para MLOps é $187,500 por ano (normalmente $147,500–$236,325), contra $220,063 para Staff Engineer ($188,813–$250,000). Isso coloca Staff Engineer cerca de 17% à frente na mediana.
Ambos os números são calculados ao vivo a partir de vagas ativas na JobsRadar e normalizados para USD anualizado, então MLOps e Staff Engineer são comparados em igualdade de condições, independentemente da moeda em que cada vaga foi originalmente publicada. Apenas as vagas que publicam uma faixa salarial alimentam as medianas; os números são atualizados a cada poucas horas conforme novas vagas são publicadas e as antigas são encerradas, então esta comparação reflete o mercado agora, e não uma pesquisa fixa. Use-a como referência direcional ao pesar um caminho contra o outro.