Machine Learning frameworks jobs in Canada

Engineer, AI & Software Testing

Magna International · Posted Sep 23, 2026

Open

Toronto, Ontario, Canada
Hybrid
Full-time
$95K–$145K per year
3+ years

Engineer, AI & Software Testing

Magna International · Posted Sep 23, 2026

Open

Toronto, Ontario, Canada
Hybrid
Full-time
$95K–$145K per year
3+ years

Machine Learning Engineer

Sanctuary AI · Posted Nov 6, 2026

Open

Vancouver, British Columbia, Canada
3+ years

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Build and deploy machine learning models for dexterity-driven physical AI robots, collaborating with researchers and engineers to integrate ML into production systems.

Responsibilities

Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.
Implement scalable and efficient software solutions to integrate machine learning models into production systems.
Optimize and fine-tune machine learning algorithms for improved performance and accuracy.
Conduct thorough testing and validation of machine learning models to ensure robustness and reliability.
Provide technical guidance and mentorship to junior team members.

Requirements

Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.

Skills

Python C++machine learning frameworks (PyTorch, TensorFlow, scikit-learn)reinforcement learning imitation learning

Economist

Ontario Securities Commission · Posted Nov 4, 2026

Open

Toronto, Ontario, Canada
Full-time
2+ years

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Contribute to research initiatives focused on data collection and analysis to help inform key decision makers involved in policy and operational initiatives.

Responsibilities

Contribute to research initiatives focused on data collection and analysis to help inform key decision makers involved in policy and operational initiatives.
Work independently and in collaboration with others to analyze complex research questions and address common data challenges.
Provide results within agreed timelines and keep stakeholders informed of progress and risks on a timely basis.
Participate in the design of research studies, including identifying sources of data and proposing appropriate analytical techniques.
Communicate completed analysis through written reports and/or presentations with limited review from senior staff.

Requirements

Bachelor's degree in economics, finance, data science or equivalent quantitative discipline
Master's degree in a quantitative discipline (asset)
Nice to have: Master's degree in a quantitative discipline
Nice to have: Canadian Securities Course
Nice to have: experience with large language models

Skills

Python R Microsoft Excel

Engineer, AI & Software Testing

Engineer, AI & Software Testing

Compensation

Responsibilities

Requirements

Skills

Benefits

Machine Learning Engineer

Responsibilities

Requirements

Skills

Economist

Responsibilities

Requirements

Skills

Benefits