FA
FacilityOS

AI Engineer

North York, Toronto
On-site
Full-time
$80K – $100K CAD
1 weeks ago
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Employment type
Full-time · On-site
Posted
September 24, 2026
Salary range
$80,000–$100,000 CAD per year
Province
Ontario (ON)

Hiring confidence: Some gaps · 56/100

Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored

Job Overview

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This is only part of this posting — the job board it came from publishes a short summary. Read the full posting.
About FacilityOS FacilityOS is a fast-growing company redefining how facilities operate—bringing safety, security, and daily operations into one unified platform used by organizations around the world. As we continue to scale globally, we’re building a team of driven, curious people who want to make an impact. You’ll be part of a dynamic, collaborative culture where individuals are trusted to take ownership, solve meaningful problems, and grow in their careers. Our team comes together in-office…

This role is based in Ontario. FacilityOS is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for AI Engineer in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting advertises $80,000–$100,000.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

  • Experience with AI/ML frameworks and libraries
  • Strong programming background
  • Understanding of machine learning algorithms
  • Problem-solving mindset
  • Ability to work in collaborative teams

Fit check

Is this role right for you?

Top skills this posting asks for:

  • Artificial Intelligence
  • Machine Learning
  • Python

Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.

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What you'll do

  • Develop and implement AI solutions for facilities management
  • Build and train machine learning models
  • Integrate AI capabilities into FacilityOS platform
  • Collaborate with cross-functional teams
  • Optimize AI models for production environments
  • Contribute to platform scalability and innovation

What you'll need

  • Experience with AI/ML frameworks and libraries
  • Strong programming background
  • Understanding of machine learning algorithms
  • Problem-solving mindset
  • Ability to work in collaborative teams
  • In-office availability

About the Company

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FacilityOS

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