As of November 6, 2026, Jobsy lists 7 researcher jobs in Edmonton, AB. The most active employers are Huawei Technologies Canada Co., Ltd., FPInnovations and Microsoft. Skills often requested: research, computer science, python and communication skills.
No matching filters. Try another name.
7 jobs·Latest jobs · Canada··
Why we group jobs by company
Jobs from the same identified company share one card in each results page. As you load more, we merge that company’s additional jobs into its existing card, so large employers do not keep taking extra space. Use the arrows or numbered dots to browse, or View all to compare its loaded jobs and reach the company’s full list. Company pages show separate job cards.
Candidates need an MS or PhD in computer science or a related quantitative field, deep knowledge of reinforcement learning, and publications at top AI conferences. They also need strong Python and deep learning skills plus an understanding of hardware limits on edge devices.
2+ YOECandidates need a BSc in computer science or engineering, or equivalent experience, plus hands-on work building real-time rendering systems and at least 2 years of research and engineering experience. Strong C/C++ skills and experience with Vulkan, OpenGL ES or DirectX are required.
Candidates need a PhD in computing architecture, software architecture or a related field, plus knowledge of AI EDA tools, LLMs and AI-computing networks. Strong literature review, technology summary and presentation skills are essential.
Candidates need a Master's or PhD in computer science, electronics engineering or a related field, plus experience in computer graphics or computer vision, ideally real-time rendering. Knowledge of neural rendering or 3DGS, graphics APIs such as Vulkan, OpenGL or DirectX, and strong communication and documentation skills are required.
Candidates need a PhD or master's in computer science, deep learning and Transformer experience, and reinforcement learning or fine-tuning background. A first-author paper in a top AI venue and strong Python and PyTorch skills are also required, with English essential for the role.
Candidates need a PhD in a computer-related field, ideally in AI/ML or computer architecture, plus industry experience. They should know AI frameworks such as PyTorch, TensorFlow or JAX, be proficient in C/C++, and have hands-on experience with a GPU ecosystem such as CUDA, Vulkan, OpenGL, OpenCL or WebGPU.
2+ YOECandidates need a PhD or equivalent research experience in machine learning or a related field, plus 2+ years of applied impact in model compression, efficient architectures, or edge optimization. Strong Python and C/C++ skills, deep learning frameworks, and a publication or patent record in ML efficiency are required.