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.
