Reality Labs (RL) is seeking exceptional interns to help create next-generation interaction technologies for virtual and augmented reality, focusing on areas such as computer vision, machine learning, and sensor fusion.
Requirements
- Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM field
- Experience in one or more of the following: computer vision (e.g. tracking, pose estimation, action/emotion recognition), computer graphics (e.g. appearance, geometry, physically-based modeling), robotics (state estimation, optimal control), machine learning (e.g. efficient deep learning, domain adaptation, transfer learning), natural language processing, or human-computer interaction
- Experience with C++ or Python
- Experience with ML frameworks such as PyTorch, Tensorflow, etc
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored publications at leading journals or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICML, ICLR, CHI, SIGGRAPH/SIGGRAPH Asia, ICRA, IROS, RSS, TPAMI, IJCV, etc
- Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Experiences working on high volume multi-sensor streaming data processing and real-time multi-sensor, in particular cameras, fusion for computer vision and machine learning systems
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
- 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
Other
- Excellent communication skills
- High levels of creativity and problem solving capabilities
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
