Meta AR/VR Job | Research Intern, CV and Machine Perception (PhD)
Job（岗位）: Research Intern, CV and Machine Perception (PhD)
Type（岗位类型）: Computer Vision | Machine Learning, Research
Citys（岗位城市）: London, United Kingdom
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
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.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining, a PhD in the field of Computer Science, Computer Vision, Machine Learning, Robotics, Physics or related field
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Must be available for 12-16 weeks internship between January 1, 2022 and December 31, 2022
Experience in Deep Learning, 3D geometry, rendering or physics based simulation
Experience in 3D scene understanding
Experience in PyTorch
Interpersonal experience: cross-group and cross-culture collaboration
Description（岗位职责）
Research, develop and prototype advanced software technologies in the domain of SLAM, visual localization, tracking, (neural) rendering, 3D reconstruction, 3D object detection and 3D scene understanding
Design and execution of novel 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
Additional Requirements（额外要求）
Intent to return to degree-program after the completion of the internship
Experience in RGB and RGB-D indoor scene reconstruction, 3D scanning, or object reconstruction
Experience in working with rendering applications as OpenGL, DirectX, Vulkan or WebGL
Experience 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 graphs
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, NeurIPS, ICML, ICLR or SIGGRAPH
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
