Median salary
$225,000
per year · annualized USD
Typical range
$195k – $261.7k
25th–75th percentile
Disclosing pay
68%
528 of 777 roles
Live roles
777
open right now
Research Engineer, Machine Learning (RL Velocity)
Software Engineer, ML Networking
Research Engineer, Machine Learning (Reinforcement Learning)
Machine Learning Engineer, Integrity
Principal Machine Learning Engineer, Ads Delivery
Senior Staff Backline Engineer - Data & AI
Applied Machine Learning Engineer, Economist
Machine Learning Infrastructure Engineer, Safeguards Research
| Company | Median | Roles |
|---|---|---|
OpenAI
|
$329,250 | 28 |
Adobe
|
$254,950 | 15 |
Pinterest
|
$265,928 | 14 |
| SA Scale AI | $232,360 | 14 |
Databricks
|
$222,325 | 14 |
Anthropic
|
$405,000 | 13 |
DoorDash USA
|
$169,350 | 12 |
| SA Salesforce | $232,350 | 9 |
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The median salary for AI Engineer roles in San Francisco is $225,000 per year. Most pay falls between $195,000 (25th percentile) and $261,713 (75th percentile), with the broader 10th–90th percentile band running from $162,140 to $304,790.
These figures are computed live from 777 active AI Engineer roles in San Francisco on JobsRadar, of which 528 (68%) 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 AI Engineer roles in San Francisco include Anthropic, OpenAI, Pinterest and Databricks.
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.