Work on cutting-edge research and development in one of the following areas: audio / speech recognition, natural language processing, computer vision.
Design, develop and implement deep/machine learning algorithms.
Process and experiment with real-world data for effective solutions.
Optimise deep/machine learning algorithms for efficiency and scalability.
PhD or Masters Degree in Computer Science, Mathematics, Engineering or Audio related fields.
Solid knowledge in one or more of the following fields: computer vision, natural language processing, audio & speech, or other deep/machine learning technologies.
Strong analytical skills with ability to learn and apply research theories into developing algorithms to solve real world problems.
Proficient in Python, and relevant data science libraries.
Experience with at least one deep learning framework, such as PyTorch, TensorFlow etc.
Experience in C/C++
Working experience in deep/machine learning technologies.
Publications in the fields of computer vision, natural language processing, audio & speech, or other deep/machine learning.
The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.
We invite interested candidates to write-in with CV and regret that only shortlisted candidates will be contacted for a discussion.
Lee Shiow Chyn