Median salary
$196,000
per year · annualized USD
Typical range
$187.5k – $228k
25th–75th percentile
Disclosing pay
68.4%
13 of 19 roles
Live roles
19
open right now
Senior Machine Learning Engineer, DevOps/SRE
Machine Learning Engineer/Senior Machine Learning Engineer - Devops, AI for Drug Discovery
Senior / Staff ML Ops Engineer
Staff MLOps Engineer
Senior Staff ML Ops Engineer
MLOps Engineer
Senior ML Ops Engineer (Machine Learning Infrastructure)
Senior Software Engineer - Platform & MLOps
| Company | Median | Roles |
|---|---|---|
Roku
|
$254,875 | 1 |
AiDASH, Inc.
|
$250,000 | 1 |
Roche
|
$228,700 | 1 |
Waabi
|
$228,000 | 1 |
| AM Atomic Machines | $225,000 | 1 |
Parallel Systems
|
$200,000 | 1 |
Abbott
|
$196,000 | 1 |
Serko Ltd
|
$191,000 | 1 |
See every MLOps role
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The median salary for MLOps roles in California is $196,000 per year. Most pay falls between $187,450 (25th percentile) and $228,000 (75th percentile), with the broader 10th–90th percentile band running from $143,800 to $245,740.
These figures are computed live from 19 active MLOps roles in California on JobsRadar, of which 13 (68.4%) publish a salary range. Pay is normalized to annualized USD so roles can be compared on equal terms; the highest-paying roles listed above show their original posted currency. Numbers refresh every few hours as new roles are posted and older ones close.
Employers currently hiring well-paid MLOps roles in California include Roku, Roche, Waabi, AiDASH and Inc..
Salary transparency varies by employer and region, so the disclosing share above reflects only roles that publish pay — not every open position. Use it as a directional benchmark rather than an exact offer.