Staff Machine Learning Engineer, Sensors & Intelligence

📋 Description

• Lead research and development of multimodal foundation models that learn from synchronized sensor
• Design self-supervised pretraining approaches for long, heterogeneous time-series datasets.
• Develop sensor fusion techniques that account for different sampling rates, sensor noise
• Advance computer vision methods for 2D and 3D human pose estimation, motion reconstruction, and
• Build machine learning models to estimate biomechanical and physiological measures, including joint
• Establish evaluation frameworks and benchmarks to assess model generalization across different

🎯 Requirements

• Proven ability to conduct independent research, supported by a strong publication record at
• PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Biomechanics, or a related
• Deep expertise in at least one of the following areas: sensor fusion, biomechanics, physiological
• Practical experience designing, training, and debugging transformer architectures, including
• Strong end-to-end machine learning development skills using PyTorch, JAX, or TensorFlow, covering
• Solid understanding of signal processing techniques, including filtering, calibration, temporal

🎁 Benefits

• Annual base salary ranging from CA$160,000 to CA$185,000, depending on experience, background, and
• Equity participation.
• Health insurance.
• Retirement savings benefits.
• Life insurance.
• Disability benefits.