Facebook: Research Intern, Cv And Machine Perception (Phd)

Surreal Vision · Competitive · London
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understandingDesign and execution of novel algorithmsPrototyping, building and analysis of experimental systemsCollaboration with and support of other researchers across various disciplinesCommunication of research agenda, progress and resultsCurrently has, or is in the process of obtaining, a PhD in the field of Computer Science, Computer Vision, Machine Learning, Robotics, Physics or related fieldMust obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employmentMust be available for 12-16 weeks internship between January 1, 2022 and December 31, 2022Experience in Deep Learning, 3D geometry, rendering or physics based simulationExperience in 3D scene understandingExperience in PyTorchInterpersonal experience: cross-group and cross-culture collaborationIntent to return to degree-program after the completion of the internshipExperience in RGB and RGB-D indoor scene reconstruction, 3D scanning, or object

reconstructionExperience in working with rendering applications as OpenGL, DirectX, Vulkan or WebGLExperience working on modern deep-learning methods for self-supervised learning, neural rendering, graph neural networks, GANs, reinforcement learning, domain adaptation, 3D object detection, etc.Broad understanding of 3D geometry, 3D shape representations and scene graphsProven 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, NeurIPS, ICML, ICLR or SIGGRAPHDemonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.G. GitHub)Facebooks mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, were building a different kind of company that

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