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Samsung Electronics AI Center Cambridge is seeking a Research Scientist to develop world models enabling agents to understand, simulate, and reason about complex environments. You will design experiments at the frontier of model-based learning and work on on-device LLMs and VLMs for mobile AI systems.
You will collaborate with cross-functional teams, translate research into practical applications for Samsung devices, and contribute to patents and publications while advancing state-of-the-art ML
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.
As a Research Scientist you will:
Any of the following skills will also be positively considered:
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.
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