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(Sr.) Algorithm Engineer - Computer Vision

Salary undisclosed

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Description

Description:

  • Be responsible to research and develop innovative computer vision/deep learning algorithms for image applications.

Responsibilities

  • Research, develop and optimize computer vision/deep learning algorithms for image applications, such as, object recognition, face recognition, video analytics, image quality enhancement, and 3D reconstruction.
  • Explore, design and implement new algorithms/features according to marketing requirements.
  • Algorithm testing and verification.
  • Algorithm integration in system architecture.

Qualifications

  • Ph.D. or MS with equivalent practical experience in Computer Science or Electrical Engineering or related disciplines such as Applied Mathematics/Statistics.
  • Broad knowledge in various computer vision related topics such as deep learning, object recognition (detection, classification, segmentation) and tracking, stereo, and/or 3D reconstruction; candidate with image sensor knowledge is a plus.
  • Strong knowledge and extensive hands-on experience of independent algorithm research; candidate with strong mathematics background is a plus.
  • Excellent C/C++ programming skills, proficient with scripting languages (e.g. Python or Matlab), and extensive experience with OpenCV.
  • Excellent verbal and written communication skills.
Description

Description:

  • Be responsible to research and develop innovative computer vision/deep learning algorithms for image applications.

Responsibilities

  • Research, develop and optimize computer vision/deep learning algorithms for image applications, such as, object recognition, face recognition, video analytics, image quality enhancement, and 3D reconstruction.
  • Explore, design and implement new algorithms/features according to marketing requirements.
  • Algorithm testing and verification.
  • Algorithm integration in system architecture.

Qualifications

  • Ph.D. or MS with equivalent practical experience in Computer Science or Electrical Engineering or related disciplines such as Applied Mathematics/Statistics.
  • Broad knowledge in various computer vision related topics such as deep learning, object recognition (detection, classification, segmentation) and tracking, stereo, and/or 3D reconstruction; candidate with image sensor knowledge is a plus.
  • Strong knowledge and extensive hands-on experience of independent algorithm research; candidate with strong mathematics background is a plus.
  • Excellent C/C++ programming skills, proficient with scripting languages (e.g. Python or Matlab), and extensive experience with OpenCV.
  • Excellent verbal and written communication skills.