Reality Labs Research (RL Research) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Surreal group at RL Research is seeking exceptional research scientists to solve the next generation of research challenges on the path to building future machine perception enabled technologies. As a Computer Vision Research Scientist, your role is to collaborate with other researchers and engineers of the team in building novel approaches for AR/VR based on neuromorphic event based sensing technologies. This involves contributing to all steps of the development, including but not limited to, developing novel event based algorithms, determining the architecture and microarchitecture required to operate efficiently the approach, verification, prototyping, and power/performance estimation.

Computer Vision Researcher – Reality Labs Research Responsibilities:

• Research, develop and prototype advanced novel event based vision algorithms and time based machine learning techniques
• Work with FPGA engineers to perform early prototyping of the developed methods
• Collaborate with team members throughout the lifetime of a project, from prototyping to deployed products
• Support integration of blocks with existing frameworks

Minimum Qualifications:

• PhD degree in Electrical Engineering or Computer Engineering
• 10+ years of research experience as a research scientist in the field of event based computation and neuromorphic engineering
• Experience in developing event based vision algorithms
• Experience in time based machine learning and spiking neural networks
• Experience working on multidisciplinary projects
• Interpersonal experience: cross-group and cross-culture collaboration
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:

• Experience with event based cameras
• Experience with neuromorphic time based development environments
• Tracking, visual odometry using event cameras experience
• MATLAB, Python, C/C++ or similar coding experience

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