Research Scientist, 3D Computer Vision

4 weeks ago

London, Greater London, United Kingdom Facebook Full time
Meta 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 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.

Research Scientist, 3D Computer Vision & Machine Perception Responsibilities:

  • Research, develop and prototype advanced software technologies in the domain of 3D reconstruction, scene understanding, object detection, SLAM and Mapping
  • Publish research results in top-tier journals and at leading international conferences.
  • Collaborate with team members throughout the lifetime of a project, from early research through prototyping
  • Working with product partners to deploy research into Meta's products.
Minimum Qualifications:

  • PhD in the field of computer vision, robotics, ML or equivalent
  • Background in advanced geometric computer vision, including 3D reconstruction, scene understanding, object detection, SLAM and Mapping
  • 5+ years experience with a mastery of modern features in C++ or Python. Experience with ML frameworks such as PyTorch
  • Experience designing machine learning algorithms, including experience creating software for data loading, training, and inference of novel ML architectures
  • Interpersonal experience: cross-group and cross-culture collaboration
Preferred Qualifications:

  • 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, NeurIPS, ICLR, or or SIGGRAPH
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.)
  • Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry
  • 3+ years of industry or post-doc experience as research scientist

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