Meta AR/VR Job | Computer vision & Machine Learning – Systems and Infra Software Engineer

Job(岗位): Computer vision & Machine Learning – Systems and Infra Software Engineer

Type(岗位类型): Engineering

Citys(岗位城市): Zurich, Switzerland

Date(发布日期): 2023-10-23


The Reality Labs team at Meta is looking for Senior/Lead Computer Vision Engineers to support our engineering teams as we build towards our goal of helping more people around the world come together and connect through world-class Augmented, Mixed and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, we are committed to driving the state-of-the-art forward through relentless innovation. AR and VR potential to change the world is immense — and we’re just getting started.

Meta is building the Metaverse, the “spatial internet” where immersive virtual worlds will coexist with the real world. Augmented and Mixed reality will transform the way people come together to interact, work and play. By developing new hardware and software products capable of understanding the real world and the user within their environment, we aim to make it possible for people to interact with content in their environment and share it with others.

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.


Prototyping and engineering experience in at least one relevant specialization area in either Computer Vision and Machine Learning: SLAM, State Estimation, Sensor Fusion, Pose estimation: Body, Facial, Hand or Eye Tracking, Dense 3D reconstruction, Object detection, segmentation and tracking, Scene understanding/Semantic Segmentation, Factory, HW, Camera or Online Calibration

Experience of successfully defining and executing of long-term roadmaps and strategy (from architecture to deployment) with cross functional organizations in computer vision and machine learning

Experience in mentoring/influencing key research, engineering and product stakeholders across organizations

Experience demonstrating technical leadership working to multidisciplinary engineering and/or research teams to drive solutions and timelines

6+ years of experience in machine learning and machine learning, or a relevant field or 4+ years of experience if you have a PhD

BSc degree in Computer Science, Computer Vision, Machine Learning, or related technical field


Lead the design and development of novel computer vision and/or, machine learning systems 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 and strategy (spanning system architectures, infrastructure and deployment procedures) in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics, and silicon

Be a go-to person to escalate the most complex online / production performance and evaluation issues that require an in depth knowledge

Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production

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

Additional Requirements(额外要求)

MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.

Industry experience working on realtime, high performance perception systems 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.

Experience driving design and development of complex perception system architectures on resource limited devices