Education and experience: - PhD in CS/EE or related research experience in academia or industry - We will consider various levels of experience in relevant research areas Key Skills: - Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.) - Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU, NPU) - Experience with distributed and multi:GPU training at scale - Fluency in Python, C/C++ and GNU Linux - Proficiency in code version control, Git and GitHub - Experience in working as member of a team - Solid publication record of papers in top:tier venues, such as NeurIPS/ICLR/ICML/MobiCom/MobiSys/ICCAD/MLSys Any of the following skills will also be positively considered: - Experience in real:world mobile system deployment - Research experience in efficient Generative AI, including language, visual or multimodal tasks. This includes different aspects of the pipeline, from data and preprocessing to large model adaptation, fine:tuning and on:device optimization. - Android operating system and Android app development