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About the position
Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free AR/MR, and push the future of computing platforms. We are a team of world-class experts dedicated to AR/VR research, computer vision, and machine learning. We are committed to driving the state-of-the-art forward through relentless innovation. AR and VR potential to change the world is immense -- and we're just getting started. The XRTech team explores, develops, and delivers new cutting-edge technologies that serve as the foundation of current and future Reality Labs products. From mixed reality and human interaction to natural input and beyond, XRTech is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up. The 3D mapping team's mission is to develop cutting-edge core technologies for 3D mapping and contextual understanding for metaverse digital twins. Our team is building large-scale persistent maps for AR and VR products at Meta. The precise geometric representation of the environment enables rich and consistent AR and VR experiences. We cover three pillars of work: cloud mapping pipeline and platform serving various use cases, core mapping algorithm development including conventional and machine learning-based Structure-from-motion (Structure-from-Motion), VIO & SLAM, and large-scale mapping and maps management.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Expertise in computer vision, and machine learning domain knowledge in 3D mapping.
- Proven experience with C++ and/or Python, including experience with modern features.
- Understanding and experiences of 3D geometry, linear algebra, numerical optimization, statistics and probability.
- Demonstrated experience working collaboratively in cross-functional teams.
- Master's degree in the following fields: Computer Science, Computer Vision, or Robotics or related.
- Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering.
- Experienced in advanced geometric computer vision, computational imaging, large scale numerical optimization, state estimation, and sensor fusion.
- Experience working in a Linux environment.
- Broad understanding of the full machine vision pipeline from sensors to high-level algorithms.
