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Facebook Computer Vision Engineer - SpatialAI 
Switzerland, Zurich, Zurich 
283538531

17.04.2025
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
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