Lead multimodal machine learning research in Canada, combining sensor fusion and computer vision to model human movement, effort, and physiology.As a Staff Machine Learning Engineer, you will shape foundation models using synchronized sensor, video, and physiological data. Your work spans biomechanics, signal processing, and human motion understanding. You will connect foundational research with product development supporting intelligent coaching, movement feedback, personalized training, and musculoskeletal health applications.Key Responsibilities:
Lead multimodal foundation model research and developmentDesign self-supervised pretraining for heterogeneous time-series dataDevelop sensor fusion methods for noisy,



incomplete modalitiesAdvance two-dimensional and three-dimensional human pose estimationMentor colleagues and define scientific technical directionRequirements:
Robust publication record in relevant conferences or journalsPhD or equivalent research experience in a related disciplineExpertise in sensor fusion, biomechanics, signals, or computer visionTransformer architecture experience, including multimodal tokenizationEnd-to-end machine learning development with PyTorch, JAX, or TensorFlowApply machine learning, biomechanics, sensor fusion, and computer vision expertise to human movement research in Canada.
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📌 Staff Machine Learning Research Engineer (Winnipeg)
🏢 Jobgether
📍 Winnipeg