In addition, there are opportunities to collaborate with researchers in Reality Labs Research (RLR).Lead the productization of CVML models for Surface inputs, including Surface keyboard and Surface trackpad, from development through deployment Partner with cross-functional teams to ship ML models end-to-end, leveraging broad ML expertise to drive solutions from prototype to production Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into the product Collaborate with cross-functional engineering and research teams from Reality Labs (RL) in computer vision, machine learning, and graphics Participate in cutting-edge research in computer vision that can be applied to AR/VR product development Define and scope projects for other engineers, providing technical direction and success criteriaBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7+ years of industry experience in machine learning, computer vision, or related fields Experience shipping ML models to production, including the full ML production cycle from development to deployment 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 Industry experience working on projects such as: real-time Simultaneous Localization and Mapping (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 Experience 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 PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field Experience productizing and deploying ML models on edge devices (mobile phones, AR/VR headsets, and/or custom hardware)Meta builds technologies that help people connect, find communities, and grow businesses.