Senior SaaS AI & ML Engineer jobs in San Francisco
AI engineer, machine learning engineer, applied scientist and AI research roles at SaaS companies.
Senior Lead AI Engineer – G&A Systems
Sr. Software Engineer, AI Platform & Infrastructure
Senior Applied AI Engineer 2
Senior Software Engineer, Applied AI
Sr. AI Engineer
Senior Machine Learning Engineer – Embedded Insights
Senior Research Engineer, Safety
Sr. Machine Learning Engineer
Senior Data Scientist, AI Product Insights
Senior Applied ML Engineer – ML4Sys
Senior Frontier Agents Engineer (Applied AI)
Senior Backend Engineer, Agentic AI
Senior AI/ML Engineer
Senior Software Engineer, AI Runtime
Senior Research Engineer, Audio and Speech
Senior Software Engineer, AI Platform
Senior Software Engineer, AI Tooling
Senior Software Engineer, AI Platform
Senior Research Scientist, Model Evaluation
Senior Research Engineer
Senior Infrastructure Software Engineer, Enterprise AI
Senior Backend Software Engineer- (AI Platform)
Top companies hiring for AI & ML Engineer
All 13 companies →Remote AI & ML Engineer jobs by region
AI & ML Engineer jobs by country
AI & ML Engineer jobs by city
AI & ML Engineer jobs by level
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 $200k–$270k in the US (median published minimum and maximum). About 87% of the roles here include a salary; use Salary listed first to see those at the top.
13 SaaS companies are hiring for these roles right now, led by Decagon, 6sense, and Databricks.
Questions about Senior SaaS AI & ML Engineer jobs
Where do these Senior 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 87% 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 $200k–$270k 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.
Hiring for your SaaS? Find a specialist agency
Compare product engineering and development agencies while you hire in-house.