Staff & principal SaaS AI & ML Engineer jobs in San Francisco
AI engineer, machine learning engineer, applied scientist and AI research roles at SaaS companies.
Staff Machine Learning Engineer – Risk
Staff Software Engineer, AI Platform & Infrastructure
Senior Staff Software Engineer, AI Runtime
Staff Machine Learning Engineer (Research Scientist) – DFAI
Staff Software Engineer, Applied AI
Principal Software Engineer, Applied AI
Senior Staff Engineer, AI
Staff Research Engineer, Multi-Agent Scaling
Staff + Sr. Software Engineer, Cloud Inference
Staff + Sr. Software Engineer, Cloud Inference Launch Engineering
Staff Software Engineer, AI Platform
Staff Machine Learning Engineer, ML Platform
Staff+ Software Engineer, ML Inference Path
Staff+ Software Engineer, ML Sampling Path
Staff Applied Scientist
Staff+ Research Engineer, RL Data Platform
Staff Software Engineer – AI & Intelligent Tooling
Staff+ Researcher, Cybersecurity Products
Staff Frontier Agents Engineer (Applied AI)
Staff Software Engineer- Foundation Model Inference
Staff+ Software Engineer, Enterprise AI Products
Principal AI Ecosystem Architect – OpenAI/Anthropic
Staff/Senior Machine Learning Research Engineer, Intelligent Systems
Staff Software Engineer, Full Stack – Gen AI
Top companies hiring for AI & ML Engineer
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About these roles
AI & ML Engineer jobs at SaaS companies
AI and machine learning engineers build the models and systems behind AI features: training and fine-tuning models, retrieval and evaluation, inference infrastructure and agents built on large language models. Research roles at AI labs focus on new methods, alignment and safety.
For what SaaS companies pay AI & ML Engineer roles by level, location and company, see the AI & ML Engineer salary guide.
Pay depends heavily on level and location. Where companies publish a range, the typical role on this page lists $249k–$331k in the US (median published minimum and maximum). About 92% of the roles here include a salary; use Salary listed first to see those at the top.
16 SaaS companies are hiring for these roles right now, led by Anthropic, Databricks, and Scale AI.
Questions about Staff & principal SaaS AI & ML Engineer jobs
Where do these Staff & principal SaaS AI & ML Engineer jobs come from?
Every job is pulled from the company’s own hiring system (Greenhouse, Lever, Ashby, Workable or Rippling) once an hour. We do not accept paid or reposted listings, so each role links back to the company’s live careers page.
What happens when I click Apply?
You go straight to the job on the company’s careers site and apply there. We never host applications and never see or store your details.
Why don’t all jobs show a salary?
We only show pay when the company publishes it in the job post. Around 92% of the roles on this page include a range today. Sort by “Salary listed first” to see those roles at the top.
How do I know a job is still open?
We check every company’s job board hourly. When a role is removed from the careers page, we remove it here within the hour and point you to similar open roles.
How much do SaaS AI & ML Engineer roles pay?
Where companies publish a range, the typical open role here lists $249k–$331k in the US (median published minimum and maximum). Pay rises with level and varies by location; the AI & ML Engineer salary guide breaks it down.
Are all of these roles based in San Francisco?
Each role has at least one office or hiring location in San Francisco. Some postings list several locations or also allow remote work; the location chips on each job show the full picture.
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