Median salary
$240,000
per year · annualized USD
Typical range
$200k – $282.1k
25th–75th percentile
Disclosing pay
73.5%
169 of 230 roles
Live roles
230
open right now
Research Engineer, Machine Learning (RL Velocity)
Research Engineer, Machine Learning (Reinforcement Learning)
Machine Learning Engineer, Integrity
Principal Machine Learning Engineer, Ads Delivery
Machine Learning Engineer, Speech LLM Training - San Francisco
Machine Learning Engineer, Marketplace
ML/Research Engineer, Safeguards
Machine Learning Engineer, Frontier Data Products
| Company | Median | Roles |
|---|---|---|
Pinterest
|
$275,199 | 16 |
| SA Scale AI | $297,900 | 9 |
DoorDash USA
|
$169,350 | 9 |
OpenAI
|
$352,250 | 6 |
Faire
|
$294,500 | 5 |
Anthropic
|
$550,000 | 4 |
Sigma Computing
|
$255,000 | 4 |
Waabi
|
$195,250 | 4 |
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The median salary for ML Engineer roles in San Francisco is $240,000 per year. Most pay falls between $200,000 (25th percentile) and $282,125 (75th percentile), with the broader 10th–90th percentile band running from $169,350 to $324,130.
These figures are computed live from 230 active ML Engineer roles in San Francisco on JobsRadar, of which 169 (73.5%) 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 ML Engineer roles in San Francisco include Anthropic, OpenAI, Pinterest and Plaud.
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.