Computer Vision Engineer - SpatialAI

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, such as Oculus headsets, AR and Smart glasses, and AI assistants. We are committed to driving the state-of-the-art forward through continous innovation. From Visual Localization, SLAM, 3D reconstruction, Context/Semantic Understanding, Mapping, Tracking, and Sensor Fusion, our team is focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up.

Do you have interest in exploring and solving complex 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!Computer Vision Engineer - SpatialAI Responsibilities

• Design and development of novel computer vision and/or machine learning algorithms in areas such as: real-time/low-power scene and object tracking, reconstruction and understanding, as well as, segmentation, key point estimation, depth sensing, 3D stereo, and data pipelines and generation.
• Contribute to definition and execution of long-term roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics and silicon.
• Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production.
• Be a go-to person to escalate the most complex online / production performance and evaluation issues that require an in depth knowledge.
• Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into products.
• Define projects for other engineers to possibly solve and achieve impact based on your direction.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, 3D Vision, Robotics, Machine Learning or artificial intelligence
• Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python

Preferred Qualifications

• MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.
• Experience with distributed systems or on-device algorithm development
• Experience in deep learning and PyTorch
• 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, or photorealistic rendering

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.


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