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.
