The Reality Labs 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, AR/VR 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 team is researching and developing state of the art Computer Vision, 3D reconstruction and Generative AI technologies for solving challenges that bridge virtual and real worlds.

As Computer Vision Software 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.Computer Vision Engineer Responsibilities

• Lead the design and development of novel computer vision and/or machine learning algorithms in areas such as: Generative AI, 3D reconstruction, 3D asset manipulations, as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, 3D stereo and volumetric reconstruction, and virtual try-ons.
• Play a critical role in the definition and execution of long-term roadmaps in partnership and cross functional organizations in machine learning and computer vision.
• Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production.
• Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• Participate in cutting edge research in computer vision that can be applied to AR/VR product development.
• Be a go-to person to escalate the most complex online / production performance and evaluation issues that require an in depth knowledge.
• Mentor other AI Engineers & improve the quality of AI work in the broader team

Minimum Qualifications

• 5+ years experience in developing and debugging in C/C++, Python, C#, or similar programming language, and hands-on experience with frameworks such as PyTorch.
• 5+ years experience developing and designing Computer Vision and/or Machine Learning technologies and systems.
• MSc degree in Computer Science, Computer Vision, Machine Learning, or related technical field.

Preferred Qualifications

• Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: geometric computer vision, 3D deep learning, 3D Reconstruction, Video Restoration, Computational Photography, Neural View Synthesis, and Generative models
• PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.
• First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH)

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.