Staff Machine Learning Engineer Jobs in San Francisco
Staff Machine Learning Engineer jobs in San Francisco are aggregated daily from company career pages and partner feeds. Applications route straight to the hiring team.
Of the 7 openings shown here, 2 are remote, and the most active employers are Pinterest (4), Airbnb, Braze. The newest was posted yesterday.
Live Staff Machine Learning Engineer openings in San Francisco
- Staff Machine Learning Engineer — Pinterest, San Francisco, CA, US; Remote, US
- Staff Machine Learning Engineer, Content Visual AI — Pinterest, San Francisco, CA, US; New York City, NY, US; Seattle, WA, US; Remote, US
- Staff Machine Learning Engineer, Shopping Ads — Pinterest, San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
- Staff Machine Learning Engineer, Ads Bidding & Pacing — Pinterest, San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
- Staff Machine Learning Engineer, Assistance Engineering — Airbnb, San Francisco, CA
- Staff Machine Learning Engineer, ML Platform — Braze, San Francisco
- Staff Machine Learning Engineer — Uber, Chicago, IL, New York, NY, San Francisco, CA, Seattle, WA, Sunnyvale, CA
Salary range for Staff Machine Learning Engineer in San Francisco
Live Staff Machine Learning Engineer listings in San Francisco range from USD 189,308 to USD 469,147, based on 5 of the 7 listings on this page that state a salary.
Companies hiring Staff Machine Learning Engineer in San Francisco
Pinterest, Airbnb, Braze, Uber
Frequently asked
- Are there Staff Machine Learning Engineer jobs available in San Francisco right now?
- Yes — 7 Staff Machine Learning Engineer openings are live in San Francisco on this page, each linking to the employer's full listing.
- How do I apply for Staff Machine Learning Engineer roles in San Francisco?
- Open any listing on this page and apply from the job's own page. Applications route straight to the hiring team — CosmoQuick does not sit between you and the employer.
- How often is this page updated?
- Listings are refreshed daily from company career pages and verified partner feeds. Roles that close are removed rather than left up.