Research Scientist Intern, Perception for Human Inputs and Interactions (PhD)

Reality Labs (RL) teams are looking for exceptional interns to help us create the next generation of human-centric interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, generative modelling, geometric and appearance modeling, physically-based modeling, sensor design and fusion, and human computer interaction. We are accepting applications from those interested in (but not limited to) the following areas: *Tracking of bodies, faces and hands and their interactions through machine learning, computer vision and sensor fusion *Egocentric human action recognition and emotion recognition *Generative models for human motion and interactions from diverse sensors and conditioning signals *Representation modeling (e.g., implicit, appearance, geometry) of hands, bodies and objects for fast simulation and tracking *Efficient deep learning (e.g., neural architecture search, sparsity, quantized networks) *Interaction design for hands, bodies and objects in virtual reality and augmented reality *Sensor fusion (e.g. of pressure, RF, EXG, IMU) with optical tracking for human centric use cases *Efficient and generalizable detectors for predicting keypoints, segmentations, normals, and depth *Accurate and efficient 3D representations of deformable shapes such as clothing and hair