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Research Intern, CV and Machine Perception (PhD)

facebook
Pay: Competitive
Internship Type:
Length of Scheme: Unknown
Deadline date: Unknown
Location: London London United Kingdom
Category: Internship
Available from: Immediately
Finishes on: Ongoing Position
Type of work: Full Time, Indoor , Daytime Work
Job reference: E04884076
Pharmaceuticals 2021-12-29 2022-03-27

Job Description

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 design to state estimation and tracking to 3D reconstruction to novel scene representations. Our internships are 12-16 weeks long and you have the option to start at various dates throughout the year.Research Intern, CV and Machine Perception (PhD) ResponsibilitiesResearch, develop and prototype advanced software technologies in the domain of SLAM, visual localization, tracking, (neural) rendering, 3D reconstruction, 3D object detection and 3D scene 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 resultsMinimum QualificationsCurrently 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 collaborationPreferred QualificationsIntent 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)LocationsData CenterAbout the Facebook company Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.

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