Meta AR/VR Job | Research Scientist, 3D Computer Vision & Machine Perception | Oculus
Type（岗位类型）: 3D Product Design | 3D Software Engineering, Artificial Intelligence, Computer Vision, Engineering, Machine Learning
Citys（岗位城市）: Redmond, WA | Remote, US
Facebook Reality Labs Research (FRL 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 Vision group at FRL Research is seeking exceptional research scientists to solve the next generation of research challenges on the path to building future machine perception enabled technologies. The aim of this role is to develop and advance computer vision algorithms and SW systems for real-time and offline SLAM, visual odometry, localization, 3D reconstruction, and object understanding.
Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Research, develop and prototype advanced software technologies in the domain of tracking, 3D reconstruction, localization, object detection, and scene understanding
Analyze and improve efficiency, accuracy, scalability, and stability of currently deployed systems
Collaborate with team members throughout the lifetime of a project, from prototyping to deployed products
Deliver research results that have a direct impact on Facebook and Oculus products
Experience with SLAM systems e.g. monocular, stereo, visual-inertial or RGBD
Background in optics or computational imaging
Experience working in a Linux environment
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 SIGGRAPH
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.)