Computer Vision Engineer

About the position

Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives. As Computer Vision Algorithm Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer.

Responsibilities

• Research, develop and productionize state-of-the-art methods in computer vision and machine learning for human understanding and telepresence.
• Build innovative hardware and software for photorealistic telepresence.
• Work on deep learning, generative adversarial learning, active learning, depth sensing, 3D reconstruction, and rendering.
• Deliver state-of-the-art research in the CVML space into impactful user experiences.
• Solve complex problems and compare alternative solutions to determine a path forward.
• Communicate and collaborate cross-functionally in a team environment.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience in building, leading and specializing in large-scale commercial computer vision projects.
• Experience developing computer vision algorithms or infrastructure in C/C++ or Python.
• Experience in Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence.
• Demonstrated experience delivering impactful user experiences.
• Experience working with distributed systems or on-device algorithm development.
• Experience in face, hand or body reconstruction and tracking.
• Experience in deep learning and PyTorch.

Nice-to-haves

• Experience contributing to AI Publications at leading workshops or conferences such as CVPR, ECCV, ICCV, NeurIPS, and SIGGRAPH.