Meta AR/VR Job | Research Scientist, 3D Computer Vision & State Estimation | Oculus
Type（岗位类型）: 3D Product Design | 3D Software Engineering, Artificial Intelligence, Computer Vision, Engineering, Research
Citys（岗位城市）: Remote, US | Redmond, WA | Burlingame, CA
Reality Labs Research (RL 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 RL Research is seeking exceptional research scientists to solve 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, sensor fusion, structure from motion, visual odometry, sensor/display calibration, 3D reconstruction and relocalization.
PhD in the field of computer vision, robotics or equivalent.
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Experienced in advanced geometric computer vision, including tracking, SLAM, visual-inertial odometry, sensor/display calibration, large-scale structure from motion or relocalization technologies.
Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry.
3+ years C++ experience including experience with modern C++ features.
Experience understanding, developing, and analyzing complex systems.
Interpersonal experience: cross-group and cross-culture collaboration.
Research, develop and prototype advanced tightly integrated hardware and software technologies in the domain of tracking, 3D reconstruction, localization, SfM and calibration automation.
Analyze and improve efficiency, accuracy, scalability, and stability of currently deployed systems.
Collaborate with team members throughout from prototyping to deployed products.
Deliver research results that have a direct impact on Meta products.
Experience with optical flow types methods or online calibration.
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, ICCP, 3DV, BMVC or SIGGRAPH.
Demonstrated software engineer experience through internships, work experience, coding competitions or widely used contributions in open source repositories.