Hybrid SaaS AI & ML Engineer jobs
AI engineer, machine learning engineer, applied scientist and AI research roles at SaaS companies.
Partner Applied AI Engineer
Senior Machine Learning Engineer – Embedded Insights
Senior Software Engineer, Data Platform & AI Enablement
Research Program Manager, Governance
AI Product Engineer
Software Engineer, AI for Chip Design
Applied AI Engineer, Government
Technical Program Manager, AI Delivery for Public Sector & Defence, Canada
Manager, Applied AI Architects
Senior Software Engineer in AI – FrontEnd React/Redux, Java
Senior Applied Research Scientist – Voice of the Customer (VOC) | IND
Applied AI Engineer, Codex
Applied AI Architect, Education
Applied AI Engineer, Cyber, Government
Manager, Applied AI Architects
Manager, Applied AI Architects – Digital Natives
AI Agent Security Architect
Applied AI Architect, Government
People Research Data Scientist, AI Fairness & Bias
Manager, Applied AI Engineering (Enterprise)
Manager, Applied AI Engineering (Startups)
Applied AI Architect
Manager, Applied AI Engineering (Codex)
Manager, Applied AI Engineering (Digital Natives)
Top companies hiring for AI & ML Engineer
All 33 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 64% of the roles here include a salary; use Salary listed first to see those at the top.
Remote roles make up 4% 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.
33 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 64% 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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