As an Intern, you will be tasked to: - Work with a team of scientists to design, train and test on Deep Learning networks for faceID task for competitions as well as to improve existing products - Assist the supervisor and the team to achieve high accuracy and high-speed performance - Be involved in data collection and annotation to set up training and testing of data - Identify key enablers and risk areas of proposed algorithmic solutions - Provide support for technical reports, investigate mechanical failures and identify solutions to improve performance - Research and stay current on the state-of-art AI and computer vision Internship Scope: In the Internship, student is required to analyse the existing problems of face recognition methods and achieve better performance for development for specific uses. In this area, projects assigned could be in the following areas: • Face Recognition, Face Detection and Face Anti-Spoofing (NIR and 3D) • Face Detection and Recognition using Infrared and 3D cameras Skills developed through this internship: Image processing, computer vision, and deep learning Job Requirement: - Prior knowledge and skills in the use of computer language such as in C/C++/Python/ Java - Strong foundation in signal processing and mathematics - Familiar with the use of OpenCV/Caffe/Tensorflow/Pytorch platform - Excellent teamwork and good communication skills - Proactive attitude with the desire to learn new skills, and a problem-solving mindset How to Apply? If this sounds like you and you are looking for a new and exciting challenge, apply today at [email protected]