R&D PhD Summer Intern: Data Science and Machine Learning
Core
PhD intern developing deep learning models to reconstruct full-body human motion from noisy wearable sensors (IMU/EMG) to inform product design and ergonomics.
Role type
PhD intern, research IC (wearable AI & human motion)
Builds
Production-ready inference application for internal researchers
Domain
Consumer packaged goods, wearable sensing, biomechanics
Deliverable
production ML models | product features
Required skills
deep learning, time-series modeling, multi-modal sensor fusion, human pose estimation, Python, PyTorch/TensorFlow
Preferred skills
research publications (NeurIPS/CVPR/etc.), IMU/EMG sensor experience, biomechanics/inverse kinematics, model deployment
Technologies
PyTorch, TensorFlow, IMU, EMG
Responsibilities
Review state-of-the-art in motion reconstruction, determine optimal sensor configurations, design/build/refine deep learning models, evaluate models on datasets, deliver production-ready application
Seniority
Intern, research execution