Staff Machine Learning Engineer, Sensors & Intelligence

This role involves leading research and development of multimodal foundation models that learn from synchronized sensor, video, and physiological data. The position requires designing self-supervised pretraining approaches for long, heterogeneous time-series datasets and developing sensor fusion techniques to handle various data challenges. The role also involves advancing computer vision methods for human pose estimation and building machine learning models to estimate biomechanical and physiological measures.