Machine Learning Engineer jobs in Canada
Algorithms Data Scientist — Real-Time Ads & Ranking
Lyft
Senior Data Engineer - Hybrid Toronto | Cloud & Data Pipelines
CG Consulting Group
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Bombardier Transportation GmbH
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PepsiCo
Financial Reporting Analyst / Analyste de l’information financière
Maples Group
Data Engineer - Modern Data Pipelines (Hybrid)
Export Development Canada
Senior Data Engineer - Spark/Scala on Kubernetes
INTELLISWIFT INC
Global Supply Chain Analyst — Data-Driven Ops & KPIs
Luxottica
Senior Data Scientist - Retail Growth & ML (Hybrid+Equity)
Faire
Data Engineer - Modern Data Pipelines (Hybrid)
Export Development Canada
Lead Data Analyst — Hybrid Calgary (SQL/Python)
Saransh Inc
Aviation Safety & Operations Data Specialist
International Air Transport Association
Senior Data Scientist - AI, Analytics & Asset Optimization
BGIS
Algorithms Data Scientist — Real-Time Ads & Ranking
Job summary
A leading transportation media firm in Toronto is looking for an Algorithms Data Scientist to develop machine learning models for ad relevance and optimization. The role offers the chance to work with large datasets and collaborate closely with cross-functional teams. Candidates should have a Master's or PhD in a quantitative field, 3-5 years of applied science experience, and strong coding skills in Python. This position includes competitive compensation and expects in-office work at least three days a week.
Benefits
Qualifications
- 3–5 years of hands-on ML/applied science experience, ideally in production models.
- Strong proficiency in Python and machine learning frameworks.
- Experience with large-scale datasets and distributed data tools.
Responsibilities
- Design, develop, and deploy machine learning models and algorithms for Lyft Ads.
- Own the end-to-end lifecycle of modeling projects from definition to monitoring.
- Collaborate with Ads Engineering for real-time ad-serving integration.
Skills
Education
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.