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Computer Vision Machine Learning Engineer XR People

Israel, Tel Aviv-Yafo

Details
Computer Vision & Machine Learning Engineer (XR People) Responsibilities
  • Design and develop novel computer vision and machine learning algorithms in areas such 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.
  • Develop prototypes for future AR/VR experiences, drive continued development, and integrate robust solutions into product.
  • Collaborate with cross-functional engineering and research teams in computer vision, machine learning, and graphics.
  • Participate in cutting edge research in computer vision that can be applied to AR/VR product development.
Minimum Qualifications
  • Bachelors degree in Computer Science, Computer Vision, Machine Learning, or related technical field.
  • 3+ years of experience in SW Engineering\ Coding
  • 3+ years of experience developing and designing Computer Vision or Machine Learning technologies and systems for running on edge devices (mobile phones, and/or custom hardware).
  • Prototyping and engineering experience in at least ONE relevant specialization area in Computer Vision or Machine Learning: Generative models such as GANs / Pose estimation and dense 3D reconstruction / Object detection, segmentation and tracking / Scene understanding / Photorealistic rendering.
  • Applications and resumes to be submitted in English.
Preferred Qualifications
  • PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field.
  • 5+ years of industry experience working on projects in areas such as: object detection, segmentation, tracking, 2D and 3D key point estimation and surface reconstruction, depth estimation, generative methods such as GANs, photorealistic rendering.
  • Background in machine learning with experience in large scale training and evaluation of deep neural networks (convolutional, recurrent, GANs).
  • Experience with CPU/GPU and mobile optimization.
  • Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc.
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