Machine Learning Engineer Jobs in San Francisco, CA

Machine Learning Engineer Job Market in San Francisco, CA (2026)

The Machine Learning Engineer job market in San Francisco, CA is emerging, with 39 open positions across 15+ employers. Hiring momentum is steady, with 5 new listings in the past month and 1 in the last week alone.

What Can You Expect to Earn?

The median salary for Machine Learning Engineer roles in San Francisco, CA is $180,000, with most positions paying between $166,000 and $215,000. Top performers can earn $243,200 or more at the 90th percentile. For higher compensation, consider Foster, CA where the median is $233,000.

Skills That Employers Want

Analysis of job descriptions in San Francisco, CA shows the most requested skills are Machine Learning, Python, AWS, Git, PyTorch, and Azure. Including these keywords in your resume can significantly improve your ATS match rate. Our Machine Learning Engineer resume example shows how to integrate these naturally.

Who's Hiring?

The most active employers for Machine Learning Engineer positions in San Francisco, CA include Neon, Autodesk, Ema Unlimited, Genentech, and Gusto. Use JobsChat AI to filter by specific companies or discover employers that match your preferences.

Remote & Flexible Work

5% of Machine Learning Engineer jobs in San Francisco, CA offer remote or hybrid work (2 positions). This role is predominantly on-site, though some employers are beginning to offer hybrid options.

Ready to Apply?

Start with our Machine Learning Engineer resume example. Pair it with a tailored cover letter. Then use JobsChat AI to search all 39 positions and generate application materials in minutes. Browse Machine Learning Engineer jobs in other cities or explore all jobs in San Francisco, CA.