Meta's Reality Labs is at the forefront of AR/VR innovation, building products that revolutionize how people connect and interact. This role is part of the XRTech team within Reality Labs, specifically focusing on 3D mapping and contextual understanding for metaverse digital twins.
The position involves working on cutting-edge computer vision and machine learning technologies for 3D mapping, developing solutions that will serve as the foundation for Meta's AR and VR products. You'll be part of a team responsible for three key areas: cloud mapping pipeline and platform development, core mapping CV algorithm development including both conventional geometry-based and ML-based approaches, and large-scale mapping management.
As a Senior Software Engineer in Computer Vision, you'll lead the development of state-of-the-art algorithms for 3D mapping, working with advanced technologies including Structure-from-Motion, VIO & SLAM systems. The role requires expertise in computer vision, machine learning, and 3D geometry, with a strong foundation in C++ and/or Python programming.
The position offers competitive compensation ranging from $70,670 to $208,000 annually, plus bonus and equity opportunities. You'll be working at Meta's Los Angeles office, contributing to groundbreaking AR/VR technologies that are shaping the future of computing and human interaction.
This is an excellent opportunity for someone with advanced technical skills in computer vision and machine learning who wants to work on challenging problems in the AR/VR space. You'll be part of a world-class team of experts dedicated to pushing the boundaries of what's possible in spatial computing and mixed reality experiences.
The role requires at least a Master's degree in Computer Science, Computer Vision, or Robotics, with a Ph.D. being preferred. You'll need strong experience in geometric computer vision, computational imaging, and large-scale numerical optimization, along with a broad understanding of the full machine vision pipeline from sensors to high-level algorithms.