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

Robust 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 (Winnipeg)
🏢 Jobgether
📍 Winnipeg