Machine Learning Researcher

As a Research Scientist you will: * Research and development of world models that enable AI agents to understand, simulate, and reason about complex environments. * Design and run experiments at the frontier of model-based learning, contributing to foundational research that shapes how AI agents perceive and interact with the world. * This role requires a strong background in machine learning, a passion for tackling open-ended research problems, and the drive to build systems. * Contribute to research and commercialization efforts in areas including on-device LLM and VLMs, adaptive inference methods, and mobile ML systems. * Conduct cutting-edge research within the existing group's agenda as well as contribute towards shaping it. * Collaborate closely with cross-functional product teams, as well as on-site research teams, to integrate ML solutions into consumer devices. * At the core of our efforts is innovation, as you will design groundbreaking machine learning algorithms and systems that extend the capabilities of current technology. * You will translate research findings into practical applications, contributing to the commercialization of AI technologies across millions of Samsung devices. * Additionally, you will prepare comprehensive documentation, research papers, and contribute towards patent applications. Skills and Qualifications 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