Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, 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 hands, bodies and objects and their interactions through machine learning, computer vision and sensor fusion
*Egocentric human action recognition and emotion recognition
*Hand motion sequence modeling for hand-object interaction using deep generative models or physical simulation
*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
*Efficient and generalizable detectors for predicting keypoints, segmentations, normals, and depth
*Accurate and efficient 3D representations of deformable shapes such as clothing and hair
**Responsibilities**
*Design and execution of algorithms in the domain of computer vision, machine learning, computer graphics, sensor fusion, or HCI
*Software and hardware prototyping
*Design of user studies and experiments
*Collaboration with other researchers across various disciplines
*Communication of research agenda, progress, and results
Good To Have:- Proven track record of achieving significant results
- Demonstrated software engineering experience
- Experiences working on high volume multi-sensor streaming data processing and real-time multi-sensor fusion
- Experiences on optimizing and deploying deep learning models on SoC of mobile devices for high performance real time applications
- Experience with Machine Learning for 3D data
- Experience with Machine Learning for Visual Synthesis
Must Have:- PhD degree in EE/CS, Applied Math or a related STEM field
- Experience in computer vision, computer graphics, robotics, machine learning, natural language processing, or human-computer interaction
- Excellent communication skills
- High levels of creativity and problem solving capabilities
- Experience with C++ or Python
- Experience with ML frameworks such as PyTorch, Tensorflow, etc.