A unique opportunity has arisen for a Research Scientist in On-Device AI to join a leading-edge Artificial Intelligence Centre in Cambridge.
This is a permanent, full-time role ideal for a passionate researcher or engineer with a strong background in Machine Learning and a keen interest in efficient AI systems for mobile and embedded platforms. You'll be joining a world-class team focused on developing and commercialising next-generation AI solutions-including on-device LLMs, VLMs, and adaptive inference systems-that will power millions of consumer devices globally.
Key Responsibilities for a Research Scientist based in Cambridge:
Drive and contribute to research in efficient machine learning, including on-device large language and vision-language models
Collaborate with cross-functional product and research teams to integrate ML solutions into real-world consumer devices
Design and implement novel ML algorithms and mobile ML systems with a focus on performance, scalability, and efficiency
Translate research into practical solutions, contributing to the development of Samsung's next-gen AI-powered products
Publish your findings in top-tier conferences and journals (e.G. NeurIPS, ICLR, ICML)
Document research progress, contribute to patent filings, and support knowledge sharing within the team
Participate in a collaborative, learning-focused environment that values innovation, openness, and personal growth
Skills & Experience:
PhD in Computer Science, Electrical Engineering, or equivalent industry research experience
Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX)
Experience in efficient ML techniques: quantization, pruning, distillation
Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU)
Strong skills in Python, C/C++, and GNU/Linux environments
Distributed and multi-GPU training experience
Proficient with Git and GitHub workflows
Why Join Us?
Be part of an elite, forward-thinking AI team focused on real-world innovation
Work at the forefront of AI commercialisation, where your research will impact millions of global users
A competitive salary and benefits package
Access to state-of-the-art tools and infrastructure
If you're passionate about shaping the future of AI in embedded and mobile systems, this role is your chance to make a real-world impact while continuing to grow as a top-tier researcher.
APPLY NOW for the role of Research Scientist based in Cambridge, Send your CV to (url removed) or call Rachael on (phone number removed) to find out more