We are looking for aspiring ML / DL candidates to join our team of researchers. The ideal candidate is open-minded, passionate about learning theory, and looks forward to challenge convention.
Your ideas shall be based on sound mathematical justification yet lead to scalable and practical solutions.
In a flexible and supportive environment, one of your major responsibilities is to push the state of the art of learning theory.
Furthermore, through collaboration with worldwide colleagues, you will have the rare opportunity to apply advanced Deep and Reinforcement learning theories to novel application areas from IC designs to everyday devices.
This is a technical role. It requires a high willingness to learn state-of-the-art signal processing techniques and a skill to quickly apply such learned techniques to novel applications.
1.Advanced degrees (MSc, etc.) in Mathematics, Computer Science, Electrical Engineering, or an equivalent degree in a related field
2.Publications in major journals and conferences, such as ICML, NIPS, CVPR, EMNLP, ICRA, ICDM
3.Experience in applying DL / ML theories to real world problems in a non-black box fashion
1.Good written and oral communications skills
2.Familiar with neural network programming (e.g. numPy, Tensorflow) and conventional software programming (e.g. MEAN, C++)
3.Agile development process