The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more. RL is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we're just getting started. Our XR Tech organization is focused on cutting edge research and development of machine perception technologies from early concepts to production level across all of Meta's AR/VR products and surfaces. These include Quest products, Meta Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capabilities across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial , Calibration and more. In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, Eye Tracking, 3D reconstruction, visualization and toolings. In addition, there are opportunities to collaborate with researchers in Reality Labs Research (RL-R) and Facebook AI Research (FAIR).Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. MS degree in Computer Science, Computer Vision, Machine Learning or related technical field, or equivalent significant industry experience. 3+ years of experience developing and designing Computer Vision and/or Machine Learning technologies and systems on 3D reconstruction and mapping. 3+ years of experience engineering in C++ and/or Python Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM State Estimation, Online Calibration, Sensor Fusion, 3D reconstruction, object detection, segmentation and tracking, scene understanding, or semantic segmentation. PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field. Industry experience working on projects such as: real-time SLAM and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation. Developing and designing Computer Vision and/or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware) Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc.