Engineering Manager, Machine Learning - Fraud Detection

Toronto, Ontario

On-site

Full-time

No salary postedYesterday

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Employment type: Full-time · On-site
Posted: September 16, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 7/100

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 Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of…

This role is based in Ontario. Stripe 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 Engineering Manager, Machine Learning - Fraud Detection in Ontario

Median $130,000 per year, with most postings between $95,000 and $170,000 (Engineering managers, 2026-05, 13 postings). This posting does not state a salary.

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 managing engineering teams
Strong background in machine learning or fraud detection
Proven track record in financial or payments industry
Leadership and mentoring capabilities
System design expertise

Fit check

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What you'll do

Lead and manage machine learning engineering team
Oversee fraud detection systems and models
Drive technical strategy and architecture decisions
Mentor and develop engineering talent
Collaborate with product and business teams
Improve fraud detection capabilities and accuracy

What you'll need

Experience managing engineering teams
Strong background in machine learning or fraud detection
Proven track record in financial or payments industry
Leadership and mentoring capabilities
System design expertise