Description:

• Be responsible for researching and developing 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.
• In-depth knowledge and extensive hands-on experience with 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.