Median salary
$230,000
per year · annualized USD
Typical range
$206.3k – $247.4k
25th–75th percentile
Disclosing pay
50%
6 of 12 roles
Live roles
12
open right now
Senior Machine Learning Engineer, DevOps/SRE
Staff Engineer - ML Infra / MLOps
Lead Software Platform Engineer, MLOps
MLOps Engineer
Senior ML Ops Engineer (Machine Learning Infrastructure)
Software Engineer, MLOps - Machine Learning
| Company | Median | Roles |
|---|---|---|
Roku
|
$254,875 | 1 |
Quince
|
$251,500 | 1 |
TetraScience
|
$235,000 | 1 |
| AM Atomic Machines | $225,000 | 1 |
Parallel Systems
|
$200,000 | 1 |
Baton (A Ryder Technology Lab)
|
$189,000 | 1 |
See every MLOps role
Browse the live listings, or save this search and get alerted the moment a new one posts.
The median salary for MLOps roles in California is $230,000 per year. Most pay falls between $206,250 (25th percentile) and $247,375 (75th percentile), with the broader 10th–90th percentile band running from $194,500 to $253,188.
These figures are computed live from 12 active MLOps roles in California on JobsRadar, of which 6 (50%) 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, Quince, TetraScience and Atomic Machines.
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.