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Machine learning frameworks (TensorFlow, PyTorch) jobs in Canada

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Skill:machine learning frameworks (TensorFlow, PyTorch)

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1–2 jobs· newest first

Machine Learning Engineer
Sanctuary AI · Vancouver, Canada
Economist
Ontario Securities Commission · Toronto, Canada
Full-time

+10K new in the last hour

Machine Learning Engineer

Sanctuary AI · Posted Nov 6, 2026

Vancouver, British Columbia, Canada
3+ years

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Economist

Ontario Securities Commission · Posted Nov 4, 2026

Toronto, Ontario, Canada
Full-time
2+ 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 computer vision natural language processing ROS2 parallel computing (CUDA, OpenMP)cloud platforms (AWS, Azure, GCP)distributed computing frameworks (Spark)PyTorch TensorFlow scikit-learn CUDA OpenMP AWS Azure GCP Spark

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AI

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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 Tableau Power BI relational databases Microsoft Azure Synapse Databricks Bloomberg LSEG Workspace S&P Capital IQ Morningstar Direct machine learning frameworks large language models

Benefits

competitive compensation package
performance-based incentives
premier pension plan
generous vacation and personal time entitlements
comprehensive health and wellness benefit package

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