Machine Learning Engineer job market in California (2026)
The Machine Learning Engineer job market in California is emerging, with 27 open positions across 10+ employers. Hiring momentum is steady, with 23 new listings in the past month and 3 in the last week alone.
What can you expect to earn?
The median salary for Machine Learning Engineer roles in California is $179,950, with most positions paying between $170,000 and $204,000. Top performers can earn $229,710 or more at the 90th percentile. Note that 41% of listings in this market don't disclose salary, so actual compensation varies — especially for negotiable roles. For higher compensation, consider San Francisco, CA where the median is $200,000.
Skills that employers want
Analysis of job descriptions in California shows the most requested skills are Deep Learning, Python, Machine Learning, PyTorch, C++, and Pandas. 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 California include PlusAI, Waymo, XPENG, Cash App, and Excelon Solutions. Use JobsChat AI to filter by specific companies or discover employers that match your preferences.
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 27 positions and generate application materials in minutes. Browse Machine Learning Engineer jobs in other cities or explore all jobs in California.