ML Engineer salaries in San Francisco.
What ML Engineer roles in San Francisco pay, from live listings on JobsRadar.
Compare with anotherMedian salary
$235,000
per year · annualized USD
Typical range
$200k – $288.8k
25th–75th percentile
Disclosing pay
51.3%
916 of 1,786 roles
Live roles
1,786
open right now
Salary distribution
annualized USD · disclosed rolesHighest-paying live roles
Research Engineer, Knowledge Team
Research Engineer, Environment Scaling
Research Engineer/Research Scientist, Pre-training
Research Engineer, Safeguards Labs
Research Engineer, Machine Learning (RL Velocity)
Performance Engineer
Staff Research Engineer, Discovery Team
Research Engineer, Discovery
Top companies hiring
| Company | Median | Roles |
|---|---|---|
OpenAI
|
$335,000 | 78 |
|
Anthropic
|
$402,500 | 74 |
Databricks
|
$225,625 | 59 |
Baseten
|
$247,500 | 34 |
| SA Scale AI | $243,000 | 33 |
Okta
|
$230,650 | 28 |
Pinterest
|
$278,807 | 26 |
DoorDash USA
|
$169,350 | 16 |
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How much do ML Engineer roles in San Francisco pay?
The median salary for ML Engineer roles in San Francisco is $235,000 per year. Most pay falls between $200,000 (25th percentile) and $288,758 (75th percentile), with the broader 10th–90th percentile band running from $174,200 to $359,500.
These figures are computed live from 1,786 active ML Engineer roles in San Francisco on JobsRadar, of which 916 (51.3%) 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 ML Engineer roles in San Francisco include Anthropic.
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.