AI Jobs in San Francisco, CA

San Francisco is the most pay transparent city hub on the board. About 37 percent of its AI listings state a USD salary, more than double the site average, and among those the median midpoint is around $217,500 a year as of September 2026. That makes this the easiest place to calibrate an offer before you apply, even if the other 63 percent still leave pay out.

The hub holds roughly 1,030 live listings, and about 105 were posted in the last week. Anthropic leads with about 73 open roles, Waymo has about 68 and Scale AI about 59; OpenAI, Pinterest, Lila Sciences and Databricks each have 20 to 30. Machine learning engineering is the largest category at about 280, but research scientist roles at about 90 and robotics and embodied AI at about 65 are far more prominent here than in most city hubs, and data engineering is comparatively small at about 57.

Only 14 percent of listings are tagged remote, so plan to be in the office for most of these. The seniority profile is top heavy: mid level roles are the biggest band at about 360, but staff and principal roles come second at about 230, ahead of senior at about 200 and lead or manager at roughly 180. Recent titles include staff ML engineer in perception research, staff data engineer in analytics, and software engineer on an AI SDK.

To work this slice, pair the minimum salary filter with a level, since so many listings here carry a stated range. The senior AI jobs in San Francisco hub and the entry level AI jobs in San Francisco hub split the same pool by experience, and the $200K plus hub is largely Bay Area roles. Seattle, New York and Austin have their own city pages if you want to compare markets.