Meta AR/VR Job | Research Scientist, 3D Computer Vision & State Estimation (PhD)
Job（岗位）: Research Scientist, 3D Computer Vision & State Estimation (PhD)
Type（岗位类型）: Artificial Intelligence | Computer Vision
Citys（岗位城市）: Redmond, WA
Date（发布日期）: Before 2021-12-14
Summary（岗位介绍）
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.
Qualifications（岗位要求）
Currently has, or is in the process of obtaining, a PhD in computer vision, robotics or related field.
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.
Interpersonal experience: cross-group and cross-culture collaboration.
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
Description（岗位职责）
Research, develop and prototype advanced tightly integrated hardware and software technologies in the domain of tracking, 3D reconstruction, localization, SFM, calibration automation etc.
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.
Additional Requirements（额外要求）
Background in optics or computational imaging.
Experience working in a Linux environment.
Experience understanding, developing, and analyzing complex systems.
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 via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
