$185,000
mediana · por ano, anualizado em USD
$163,800
mediana · por ano, anualizado em USD
Senior/Staff Backend Engineer, Applied AI
Senior/Staff Full Stack Engineer, Applied AI
Senior Software Engineer, Machine Learning (Audio)
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (Reinforcement Learning)
Research Engineer, Machine Learning (RL Velocity)
Software Engineer - AI
Machine Learning Engineer ($400k - $600k salary)
Senior Software Engineer, Machine Learning
Staff Machine Learning Operations Engineer
Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery
Principal Machine Learning Operations Engineer
Lead ML Engineer - Advance AI (applied ML, LLM's, ML Ops)
Senior / Staff ML Ops Engineer
Lead Software Platform Engineer, MLOps
Staff MLOps Engineer
Software Engineer - ML Ops (R37)
Senior Staff ML Ops Engineer
Matterport - Senior ML Ops Engineer
| Empresa | Mediana | Funções |
|---|---|---|
Speechify
|
$170,000 | 144 |
Mindrift
|
$76,960 | 96 |
Booz Allen Hamilton
|
$162,000 | 76 |
OpenAI
|
$307,500 | 39 |
SpaceX
|
$145,000 | 35 |
General Motors
|
$203,125 | 34 |
Thomson Reuters
|
$204,200 | 30 |
CACI
|
$148,825 | 30 |
| Empresa | Mediana | Funções |
|---|---|---|
Weekday AI
|
$202,800 | 2 |
Target
|
$197,000 | 2 |
Workday
|
$150,400 | 2 |
RELX
|
$140,450 | 2 |
Booz Allen Hamilton
|
$126,300 | 2 |
Shirley Ryan AbilityLab
|
$88,225 | 2 |
Garner Health
|
$324,500 | 1 |
AiDASH, Inc.
|
$250,000 | 1 |
| Local | Mediana | Funções |
|---|---|---|
| San Francisco | $229,800 | 519 |
| New York | $212,500 | 484 |
| Seattle | $204,000 | 187 |
| Los Angeles | $203,625 | 64 |
| Boston | $196,000 | 137 |
| Singapore | $187,200 | 9 |
| Denver | $185,500 | 64 |
| Austin | $180,350 | 99 |
| Atlanta | $174,828 | 70 |
| London | $165,686 | 55 |
A mediana para AI Engineer é $185,000 por ano (normalmente $145,000–$228,900), contra $163,800 para MLOps ($137,000–$193,500). Isso coloca AI Engineer cerca de 13% à frente na mediana.
Ambos os números são calculados ao vivo a partir de vagas ativas na JobsRadar e normalizados para USD anualizado, então AI Engineer e MLOps 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.