Our Reality Labs division explores, develops and delivers cutting-edge technologies that serve as the foundations for the Metaverse and other future Reality Labs products, such as Oculus headsets, future AR glasses and our FB Family of Apps (Messenger, Instagram, WhatsApp). 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.
Computer Vision Engineer (Leadership) - Reality Labs Responsibilities
Lead the design and development of novel computer vision and/or, machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding, as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions and virtual try-ons
Play a critical role in the 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
Participate in cutting edge research in computer vision that can be applied to AR/VR product development
Define projects for other engineers to possibly solve and achieve impact based on your direction
Requirements: Prototyping and engineering experience in at least one relevant specialization area in either Computer Graphics, Computer Vision or Machine Learning: SLAM, State Estimation, Sensor Fusion, Generative models such as GANs, Pose estimation: Body, Facial, Hand or Eye Tracking, Dense 3D reconstruction, Object detection, segmentation and tracking Scene understanding/Semantic Segmentation, Photorealistic rendering, Factory, HW, Camera or Online Calibration
BSc degree in Computer Graphics, Computer Science, Computer Vision, Machine Learning, or related technical field
Experience in driving large cross-functional/industry-wide engineering efforts
Experience in mentoring/influencing senior engineers across organizations
Experience communicating and working across functions to drive solutions
Preferred Qualifications
MSc or PhD degree in Computer Graphics, Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.
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, generative methods such as GANs, or photorealistic rendering
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