Median salary
$210,000
median over time
Typical range
$175k – $255k
25th–75th percentile
Disclosing pay
48.5%
1,152 of 2,377 roles
Live roles
2,377
open right now
Research Engineer, Pretraining Scaling
Research Engineer/Research Scientist, Pre-training
Research Engineer, Knowledge Team
Research Engineer, Machine Learning (Reinforcement Learning)
Staff Research Engineer, Discovery Team
Staff+ Software Engineer, Privacy
Research Engineer, Interpretability
Research Engineer, Applied AI Engineering
| Company | Median | Roles |
|---|---|---|
OpenAI
|
$307,500 | 113 |
Anthropic
|
$362,500 | 45 |
Databricks
|
$222,325 | 38 |
| SA Scale AI | $243,000 | 26 |
Airwallex
|
$216,250 | 26 |
DoorDash USA
|
$161,300 | 24 |
Pinterest
|
$228,800 | 21 |
Mariana Minerals
|
$135,000 | 19 |
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The median salary for Solutions Engineer roles in San Francisco is $210,000 per year. Most pay falls between $175,000 (25th percentile) and $255,000 (75th percentile), with the broader 10th–90th percentile band running from $145,000 to $310,000.
These figures are computed live from 2,377 active Solutions Engineer roles in San Francisco on JobsRadar, of which 1,152 (48.5%) 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 Solutions Engineer roles in San Francisco include Anthropic 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.