Remote SaaS AI & ML Engineer jobs in Canada
AI engineer, machine learning engineer, applied scientist and AI research roles at SaaS companies.
Machine Learning Engineer – Multiple Positions
Senior Machine Learning Engineer
Director, Applied AI
Senior AI Engineer (GTM)
Staff Security Researcher
Principal Security Researcher
Senior Technical Program Manager, Machine Learning Infrastructure
Global Public Policy Manager, Compute, Infrastructure & Sovereign AI
Fullstack Engineer (TypeScript), AI Engineering: Duo Client SDK
Staff AI Marketing Systems Engineer
Backend Engineer (Python),AI Engineering: Agent Foundations
Staff Backend Engineer (Ruby), AI Engineering: DAP Repository Flows
Applied AI Engineer, Agents & Automations
Applied AI Engineer, Agents & Automations
Staff Software Engineer, AI Foundations (AI Agent Optimization)
Senior Frontend Software Engineer (AI Receptionist)
Software Engineer, AI Enablement
Senior Backend Engineer, AI Engineering: Chat
Senior Software Engineer – Streaming AI (Remote – Ontario / British Columbia)
Senior Software Engineer – Streaming AI (Remote – Ontario / British Columbia)
Backend Engineer (Ruby), AI Engineering: Agent Foundations
Staff AI Engineer | Canada | Remote
Software Engineer, AI Product (Canada)
Machine Learning Intern/Co-op (Winter 2027)
Top companies hiring for AI & ML Engineer
All 15 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 $168k–$260k in the US (median published minimum and maximum). About 62% of the roles here include a salary; use Salary listed first to see those at the top.
15 SaaS companies are hiring for these roles right now, led by Cohere, Cresta, and GitLab.
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 62% 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 $168k–$260k 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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