MLOps salaries in San Francisco.
What MLOps roles in San Francisco pay, from live listings on JobsRadar.
Compare with anotherMedian salary
$216,000
per year · annualized USD
Typical range
$200.2k – $245k
25th–75th percentile
Disclosing pay
36.3%
49 of 135 roles
Live roles
135
open right now
Salary distribution
annualized USD · disclosed rolesHighest-paying live roles
Digital Native Go-to-Market (GTM) Leader
Enterprise Account Executive
Software Engineer, Machine Learning
Member of the Technical Staff — AI/ML
Go-To-Market (GTM) Digital Natives Program Leader
Software Engineer - Enterprise Platform
Software Engineer - Training Infrastructure
AI engineer
Top companies hiring
| Company | Median | Roles |
|---|---|---|
Pinterest
|
$213,567 | 4 |
|
Databricks
|
$320,350 | 3 |
| SA Snorkel AI | $245,000 | 3 |
|
Figma
|
$257,750 | 2 |
|
Baseten
|
$247,500 | 2 |
Altruist
|
$213,750 | 2 |
Onos Health
|
$212,500 | 2 |
Hayden AI
|
$200,827 | 2 |
See every MLOps role
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How much do MLOps roles in San Francisco pay?
The median salary for MLOps roles in San Francisco is $216,000 per year. Most pay falls between $200,154 (25th percentile) and $245,000 (75th percentile), with the broader 10th–90th percentile band running from $172,500 to $266,800.
These figures are computed live from 135 active MLOps roles in San Francisco on JobsRadar, of which 49 (36.3%) 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 San Francisco include Databricks, Greptile, Figma and Stuut.
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.