Hybrid SaaS AI & ML Engineer jobs
AI engineer, machine learning engineer, applied scientist and AI research roles at SaaS companies.
Applied AI Engineer, Cyber
Software Engineer, Early Career (AI)
Senior Machine Learning Engineer
Research Engineer, Post-Training
Senior Software Engineer – Research Platform, Consumer Devices
Research Engineer/Research Scientist – Personal AGI, North Stars
Applied AI Engineer, Fullstack
Applied AI Engineer, Cyber
Staff AI Engineer
Applied AI Architect
Staff Software Engineer, AI Voice and Content
Senior Backend Engineer, Agentic AI
Software Engineer AI Gateway
AI Agent Engineer, Client Facing
Software Engineer, AI Product Security
Staff Software Engineer, AI Tooling
Staff Backend & AI Engineer, Madrid
Software Engineer, Monetization ML Infrastructure
Full-Stack Senior Software Engineer, AI-Powered Sales Platform
Staff Machine Learning Engineer (Research Scientist) – DFAI
Senior Applied Scientist
Staff Applied AI Engineer
AI/IT Controls Engineer, Enterprise Applications
Senior Software Engineer, Voice AI
Top companies hiring for AI & ML Engineer
All 32 companies →Remote AI & ML Engineer jobs by region
AI & ML Engineer jobs by country
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 $218k–$310k in the US (median published minimum and maximum). About 63% of the roles here include a salary; use Salary listed first to see those at the top.
Remote roles make up 3% of the openings on this page. Most remote roles are limited to a region for tax and time-zone reasons, so check the location chips before you apply.
32 SaaS companies are hiring for these roles right now, led by OpenAI, Snowflake, and Airwallex.
Questions about SaaS AI & ML Engineer jobs
Where do these 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 63% 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 $218k–$310k 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.
What does “Remote (Europe)” mean?
It means the company hires remotely but only within that region, usually for tax, contract or time-zone reasons. “Remote (Worldwide)” roles have no location restriction.
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