Staff Machine Learning Platform Engineer

Toronto, Ontario

On-site

Full-time

No salary postedToday

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Employment type: Full-time · On-site
Posted: September 14, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 22/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the worl…

This role is based in Ontario. Faire 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 Staff Machine Learning Platform Engineer in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

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Typical qualifications for Canadian employers

Significant experience building machine learning platforms or infrastructure
Strong software engineering fundamentals
Experience with distributed systems
Proficiency in at least one programming language (Python preferred)
Experience with cloud platforms

Fit check

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What you'll do

Design and build machine learning platform infrastructure
Develop systems to support ML model deployment and serving
Create tools and frameworks for ML engineers
Optimize ML pipeline performance
Lead architectural decisions for ML systems
Collaborate with data scientists and ML engineers
Ensure platform reliability and scalability

What you'll need

Significant experience building machine learning platforms or infrastructure
Strong software engineering fundamentals
Experience with distributed systems
Proficiency in at least one programming language (Python preferred)
Experience with cloud platforms
Ability to design scalable systems
Track record of technical leadership