The Reality Labs (RL) 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 design to state estimation and tracking to 3D reconstruction to novel scene representations.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 Scientist Intern, CV and Machine Perception (PhD) Responsibilities:
Research, develop and prototype advanced software technologies in the domain of SLAM, visual localization, tracking, 3D reconstruction, SFM, Machine Perception, state estimation etc.
Analyze and improve efficiency, accuracy, scalability and stability of currently deployed systems
Design and execution of algorithms
Prototyping, building and analysis of experimental systems
Collaboration with and support of other researchers across various disciplines
Communication of research agenda, progress and results
Minimum Qualifications:
Currently has, or is in the process of obtaining, a PhD in the field of Computer Science, Computer Vision, Robotics or related field
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Experience with statistical analysis of data and mathematical modeling
Experience with developing 3D geometry, optimization, or information theory
Experience in Python or C++
Interpersonal experience: cross-group and cross-culture collaboration
Preferred Qualifications:
Intent to return to degree-program after the completion of the internship
Experience with SLAM systems e.g. monocular, stereo, visual-inertial, LIDAR, or RGBD
Experience in geometric computer vision, including tracking, visual-inertial odometry, SLAM, relocalization, sensor/display calibration, large-scale structure from motion, probabilistic graphical models, or information sparsification technologies
Experience working with cameras and advance imaging sensors, IMUs, Magnetometers, and other sensors that can be used in the context of localization and mapping
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 workshops or conferences such as CVPR, ECCV/ICCV, BMVC, ICRA, IROS, or RSS
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
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