We are looking for experienced and accomplished Applied Scientists for Machine Learning (ML) and Data Science (DS). You are supposed to be strong in both practical R&D and fundamentals with deep and broad expertise in several or at least a few applied science disciplines. You should have a good understanding of the state-of-the-art ML algorithms and methods, exceptional publication records (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, ICCV, etc.), and good knowledge and experience in computer science and engineering (e.g., how to use CPUs/GPUs for efficient training and inference for diverse use cases). You should also have experience and skills in collaboration with software engineering teams to enable the scaling and productization of ML algorithms.