The Facebook Reality Labs (FRL) Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. The Surreal Vision team is looking for the next generation of scientists and engineers to tackle the most ambitious problems in machine perception.
In this internship, you will not only work on the forefront research topics present in academia and industry, but beyond you will work with a team invested in building the complete stack from sensor and optics design to fundamental machine learning and computer vision algorithms to the applications driving LiveMaps and the Metaverse. Our working style is fast-paced, focused on rapid progress and audacious exploration of novel solutions for fundamental problems.
Our internships are twelve (12) to twenty four (24) weeks long and you have the option to start at various dates throughout the year.
Research Intern, Computational Imaging and Optics, Machine Perception (PhD) Responsibilities
- Investigate novel computational imaging and computational optics systems that push the state of the art in sensing a headset’s environment
- Design, develop, prototype, execute and analyze advanced imaging and perception systems for future headsets
- Collaborate with and support other researchers across various disciplines
- Communicate research agenda, progress and results
- Currently has, or is in the process of obtaining, a PhD in the field of Computer Science, Optics, Electrical Engineering, Applied Physics, or a related field
- 2+ years experience in at least one of the fields of Applied Optics, Computational Imaging, Computer Vision, Machine Learning, Computer Graphics, or a related field
- 2+ years experience in Python or C++
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Must be available for 3 month to 6 month internship between January 1, 2022 and December 31, 2022
- Interpersonal experience: cross-group and cross-culture collaboration
- Intent to return to degree-program after the completion of the internship
- Experience with rapid proto-typing of experimental imaging setups
- Experience with sensors, optics, cameras and imaging systems for machine perception
- Experience in computer vision, including but not limited to detection, tracking, reconstruction and photo-realism
- Broad understanding of the full machine vision pipeline from sensors to high-level algorithms
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading publication venues related to the internship topic
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)