Samsung Electronics
Research Scientist
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Position Summary
At the Samsung AI Center-Cambridge, our teams work closely to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus on high-impact projects that balance research and commercial outcomes. Our group conducts research on on-device and edge-based ML systems, focusing on model/system and hardware/software co-design, adaptive inference methods, robotic systems, and the optimized on-device deployment of large language models (LLMs) and multimodal visual language models (VLMs).
Our team is characterized by its diverse backgrounds and expertise, ranging from pure machine learning and mobile/embedded systems to computer architecture and robotics, with strong emphasis on combining excellent research skills with hands-on development abilities. This diversity has enabled us to develop groundbreaking cross-stack ML systems and algorithms. Throughout our projects, we maintain strong ties with close-to-product teams, contributing to commercialization goals and ensuring our research has a tangible impact for Samsung through successful tech transfers and numerous patent applications. At the same time, our work is consistently and widely recognized, with multiple papers published in top-tier international conferences and journals.
Role and Responsibilities
As a Research Scientist you will:
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- 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.
- Contribute to research and commercialization efforts for Samsung AI Centre 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.
- Translate research findings into practical applications, contributing to the commercialization of AI technologies across millions of Samsung devices.
- Prepare comprehensive documentation, research papers, and contribute towards patent applications.
- Work alongside team members with varying levels of experience in a collaborative and continuous learning environment, with a strong focus on individual development throughout our work.
Skills and Qualifications
Education and experience:
- PhD in CS/EE or related research experience in academia or industry
- Various levels of experience in relevant research areas will be considered
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
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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
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