Computer Vision salaries in San Francisco.
What Computer Vision roles in San Francisco pay, from live listings on JobsRadar.
Compare with anotherMedian salary
$222,500
median over time
Typical range
$176.7k – $269k
25th–75th percentile
Disclosing pay
46%
666 of 1,449 roles
Live roles
1,449
open right now
Salary distribution
annualized USD · disclosed rolesHighest-paying live roles
Research Scientist, Interpretability
Product Manager, Developer Productivity
Senior Director, Revenue Technology & Innovation
Hardware / Software CoDesign Engineer - 3P
RE/RS, Data Understanding (MM)
RE / RS - Foundations, Search
Director, Machine Learning Engineering – Content & User Understanding
Principal Machine Learning Engineer, Ads Delivery
Top companies hiring
| Company | Median | Roles |
|---|---|---|
|
OpenAI
|
$293,000 | 41 |
DoorDash USA
|
$197,400 | 39 |
Databricks
|
$225,813 | 38 |
|
Anthropic
|
$347,500 | 33 |
|
Pinterest
|
$272,626 | 25 |
Okta
|
$230,500 | 22 |
| LS Lila Sciences | $249,000 | 21 |
| SA Scale AI | $255,150 | 18 |
See every Computer Vision role
Browse the live listings, or save this search and get alerted the moment a new one posts.
How much do Computer Vision roles in San Francisco pay?
The median salary for Computer Vision roles in San Francisco is $222,500 per year. Most pay falls between $176,722 (25th percentile) and $269,000 (75th percentile), with the broader 10th–90th percentile band running from $146,000 to $310,000.
These figures are computed live from 1,449 active Computer Vision roles in San Francisco on JobsRadar, of which 666 (46%) 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 Computer Vision roles in San Francisco include Anthropic, Pinterest and OpenAI.
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.