ML Research Scientist

Education and experience:PhD in CS/EE or related research experience in academia or industryWe will consider various levels of experience in relevant research areasKey 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 scaleFluency in Python, C/C++ and GNU LinuxProficiency in code version control, Git and GitHubExperience in working as member of a teamSolid publication record of papers in top-tier venues, such as NeurIPS/ICLR/ICML/MobiCom/MobiSys/ICCAD/MLSysAny of the following skills will also be positively considered:Experience in real-world mobile system deploymentResearch 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 developmentTPBN1_UKTJ