ML Research Scientist

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

TPBN1_UKTJ