Senior Software Engineer, Machine Learning
- Employment type
- Full-time · On-site
- Posted
- September 28, 2026
- NOC code
- 21231 — Software engineers and designers
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 11/100
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
This role is based in Ontario. The Canadian NOC code for this position is 21231 — Software engineers and designers. Chorus 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 Software 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
21231 — Software engineers and designers. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
A degree in computer science, software engineering or a related field, or equivalent experience, plus demonstrated work in one or more production languages and frameworks.
Licensing: No licence is needed to write software, but the title "engineer" is protected by the provincial engineering regulators; some employers post the same role as "software developer" for that reason.
Fit check
Is this role right for you?
Top skills this posting asks for:
- Machine Learning
- Software Engineering
- Python
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What you'll do
- Develop and implement machine learning models
- Build scalable ML systems for marketing intelligence platform
- Work directly with Technical CEO, Founding Engineer, and Founding Data Scientist
- Design and maintain data pipelines
- Contribute to core product development for nonprofit organizations
What you'll need
- Senior-level software engineering experience
- Machine learning expertise
- Experience with marketing intelligence or analytics platforms
- Ability to work in-office ~4 days/week in Toronto
- Direct collaboration with technical leadership