As of November 7, 2026, Jobsy lists 5 ai research engineer jobs in Canada. The most active employers are Deloitte, Huawei Technologies Canada Co., Ltd. and Jobgether. Skills often requested: research, machine learning, deep learning and pytorch.
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Candidates need a master's degree in computer science or a related field (a PhD is preferred) and a strong research publication record at top AI conferences. They also need hands-on experience with large-scale reinforcement learning on multimodal or vision systems and advanced PyTorch skills.
Phaidra: The Prism platform identifies, prioritizes and provides actionable insights to any issues in the facility mechanical systems.
Candidates need a strong applied AI, machine learning or software engineering background, experience with LLMs and tool-using agents, and experience evaluating model outputs. Good Python skills, strong written communication and alignment with the company values of Agency, Velocity, Craft and Truth are required.
5+ YOECandidates need over 5 years of engineering experience, including 3 or more years of hands-on graphics work, and an MSc or PhD in computer science or a related field. Strong skills in deep learning, neural rendering, Python, PyTorch and TensorFlow, plus publications at top graphics or vision venues, are expected.
3+ YOECandidates need 3+ years in machine learning, data engineering or applied research, with strong Python and deep learning framework skills. Hands-on experience with Hugging Face, reinforcement learning fine-tuning, distributed GPU training and LLM serving is required.
Hugging Face Transformers, Hugging Face TRL, PyTorch, vLLM, DeepSpeed, Weights & Biases
3+ YOECandidates need 3+ years of computer vision or multimodal research or applied experience, a publication or project track record, and strong Python and PyTorch skills. Experience training or fine-tuning vision models, building evaluations, and shipping under latency constraints is valued.