Samsung Electronics
Research Scientist
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Research Scientist – Machine Learning Systems & On-Device AI
Location: Cambridge, UK (3/2 Hybrid)
Employment Type: Full-time, Permanent
Build the Future of AI at Samsung
At Samsung AI Centre Cambridge, we're developing the next generation of intelligent systems that power AI experiences across millions of Samsung devices worldwide.
Our team combines world-class research with real-world impact, creating state-of-the-art machine learning algorithms and systems that are efficient enough to run directly on consumer devices. From on-device Large Language Models (LLMs) and Vision Language Models (VLMs) to world models, adaptive inference, and mobile AI systems, we're tackling some of the most exciting challenges in modern AI.
We're looking for a Research Scientist who is passionate about advancing machine learning research while helping bring breakthrough innovations to Samsung products.
What You'll Do
As a Research Scientist, you'll contribute to cutting-edge research that bridges foundational AI and practical deployment.
You'll:
- Research and develop world models that enable AI agents to understand, simulate, and reason about complex environments.
- Design and execute experiments at the frontier of machine learning and model-based AI.
- Develop novel algorithms for efficient AI, including on-device LLMs, VLMs, and adaptive inference.
- Collaborate with researchers and product engineering teams to translate research into commercial technologies.
- Publish at leading international conferences and contribute to patent applications.
- Help shape the future research agenda of Samsung AI Centre Cambridge.
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What We're Looking For
You'll ideally have:
- A PhD (or equivalent research experience) in Computer Science, Electrical Engineering, or a related field.
- Strong experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Experience developing efficient ML techniques, including quantization, pruning, distillation, sparsification, or model optimisation.
- Experience deploying AI models on embedded or mobile devices.
- Strong programming skills in Python and C/C++, with experience working in Linux environments.
- Experience with distributed or multi-GPU training.
- A strong publication record at leading conferences such as NeurIPS, ICLR, ICML, MLSys, MobiCom, MobiSys, or ICCAD.
- Excellent collaboration and communication skills.
- Experience with Generative AI, multimodal models, Android, or real-world mobile deployment is an advantage, but not essential.
Why Samsung AI Centre Cambridge?
Joining our team means working in an environment where research excellence meets real-world impact.
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We offer:
- The opportunity to conduct world-class AI research with significant scientific freedom.
- Collaboration with leading researchers across machine learning, systems, computer architecture, and robotics.
- The chance to see your work deployed across millions of Samsung devices.
- A strong publication culture, with regular contributions to the world's leading AI conferences and journals.
- Opportunities to contribute to technology transfer and patent generation.
- A collaborative, supportive culture focused on continuous learning and professional growth.
- A modern office in the heart of Cambridge, one of Europe's leading AI research hubs.
Ready to Shape the Future of AI?
If you're excited by the challenge of building efficient, intelligent AI systems that combine cutting-edge research with real-world impact, we'd love to hear from you.
Apply today and help define the next generation of AI experiences at Samsung.
Please note: Samsung maintains a strict policy regarding confidential information and trade secrets. During the recruitment process, applicants must not disclose confidential or proprietary information belonging to current or previous employers.
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