**Summary:** The Reality Labs team at Meta is looking for Computer Vision Engineers to support our engineering teams as we build towards our goal to transform the way people come together to interact, work and play.We explore, develop and deliver cutting-edge technologies that serve as the foundations for the current and future Reality Labs products including VR, AR, smart-glasses, AI assistants, and robotics. We are committed to driving the state-of-the-art forward through relentless innovation. Through ML perception in 2D and 3D, for both primitives (e.g. depth, segmentation, and semantic keypoints) as well as high-level(e.g. shape inference, 3D reconstruction, context/semantic Understanding), our team is focused on taking new technologies from early incubation to the product level while iterating, prototyping, and realizing the human value and new experiences they open up.Do you have a passion for exploring and solving challenging computer vision and machine learning problems? Do you love solving novel problems from first principles, or delivering SOTA technologies into products used by millions of users? Are you always on the lookout for better, faster, and more efficient solutions? Do you want to help build the core technologies that will enable the new products and experiences?The potential to change the world is immense -- and we're just getting started. We encourage you to apply and join us! **Required Skills:** Computer Vision/Machine Learning Engineer (Spatial AI) Responsibilities: 1. Design and development of novel machine learning algorithms to solve computer vision problems in areas such as: Vision-Language Models, Vision Foundation Models, 3D reconstruction, surface reconstruction, or photorealistic rendering, depth estimation, semantic segmentation, 2D and 3D semantic key point detection, or object tracking. 2. Drive the team's goals and technical direction and to pursue technical opportunities 3. Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production. 4. Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into products. 5. Define projects for other engineers to possibly solve and achieve impact based on your direction. **Minimum Qualifications:** Minimum Qualifications: 6. MSc degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field, or equivalent practical experience. 7. Experience in one or more of the following areas: Deep Learning, Computer Vision, 3D Vision, Robotics, Machine Learning. 8. Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python 9. Experience in deep learning and PyTorch **Preferred Qualifications:** Preferred Qualifications: 10. PhD degree in Computer Vision, Machine Learning, Robotics or related technical field. 11. Experience with distributed systems or on-device algorithm development 12. Industry experience working on projects such as: Vision-Language Models, Vision Foundation Models, 3D reconstruction, surface reconstruction, or photorealistic rendering, depth estimation, semantic segmentation, 2D and 3D semantic key point detection, or object tracking. **Industry:** Internet