Median salary
$228,700
per year · annualized USD
Typical range
$195.5k – $265k
25th–75th percentile
Disclosing pay
69.4%
516 of 744 roles
Live roles
744
open right now
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Machine Learning Engineer, Monetization AI/ML
Staff Backline Engineer – ML/AI
Machine Learning Engineer, Implicit Signals
AI Infrastructure Engineer, pAGI
Senior Software Engineer, Enterprise AI Platform
Software Engineer, Applied AI - Frontier Engineering
| Company | Median | Roles |
|---|---|---|
OpenAI
|
$323,000 | 33 |
Anthropic
|
$402,500 | 19 |
Pinterest
|
$260,867 | 16 |
DoorDash USA
|
$239,400 | 15 |
Accenture
|
$194,100 | 14 |
Databricks
|
$224,913 | 12 |
| SA Scale AI | $243,000 | 11 |
PwC
|
$178,375 | 10 |
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The median salary for AI Engineer roles in San Francisco is $228,700 per year. Most pay falls between $195,500 (25th percentile) and $265,000 (75th percentile), with the broader 10th–90th percentile band running from $160,000 to $321,500.
These figures are computed live from 744 active AI Engineer roles in San Francisco on JobsRadar, of which 516 (69.4%) 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 AI Engineer roles in San Francisco include Anthropic, OpenAI, Databricks and Embedding VC.
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.