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 development
- Design self-supervised pretraining for heterogeneous time-series data
- Develop sensor fusion methods for noisy, incomplete modalities




- Advance two-dimensional and three-dimensional human pose estimation
- Mentor colleagues and define scientific technical direction

Requirements:
- Solid publication record in relevant conferences or journals
- PhD or equivalent research experience in a related discipline
- Expertise in sensor fusion, biomechanics, signals, or computer vision
- Transformer architecture experience, including multimodal tokenization
- End-to-end machine learning development with PyTorch, JAX, or TensorFlow Apply machine learning, biomechanics, sensor fusion, and computer vision expertise to human movement research in Canada.

📌 Staff Machine Learning Research Engineer (Canada)
🏢 Jobgether
📍 Canada