AI Research Intern

Are you currently studying or just completing a PhD in Computer Science, Engineering, Mathematics or a related discipline? This AI Research Internship offers the opportunity to work within a globally recognised research environment, contributing to advanced developments in artificial intelligence. Based in Cambridge, you will join a cross-disciplinary team working at the intersection of academic research and real-world application. The programme is designed to support the development of technical expertise, research output, and industry impact, providing exposure to large-scale innovation and potential pathways into research or commercial technology roles. About Samsung AI Centre Cambridge SAIC Cambridge is a world-class cross-disciplinary research centre focused on both fundamental and applied AI research. The centre brings together researchers and engineers working collaboratively across multiple specialisms, with a strong emphasis on publishing research, developing reproducible code, and contributing to wider advancements in the AI community. The Role The successful candidates will work within a world-class cross-disciplinary research centre, collaborating with researchers and engineers in basic and applied research across the centre. The aim is to publish research in top conferences, file patents, share reproducible code with the broader AI community, and contribute to commercial technology transfer. Conduct research to develop state-of-the-art solutions or propose new research challenges based on real-world AI applications Publish work in leading conferences and journals such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, ACL and InterSpeech Develop high-quality, well-documented code to support reproducible research within local and international AI communities Interns will be affiliated with one of three specialist labs and supported by senior mentors to guide research direction, skill development, and publication output. Areas of focus may include vision and language models, large-scale model training, speech and generation models, world models, inverse physics, and neuro-symbolic AI. Company Culture You will work within a collaborative research environment where knowledge sharing, experimentation, and academic contribution are central. Interns are supported by experienced mentors and integrated into research teams that value both independent thinking and cross-functional collaboration. Benefits and Perks This internship provides the opportunity to contribute to high-impact research, publish in leading conferences, and work alongside experienced researchers and engineers. The hybrid working model allows a balance between on-site collaboration and remote working, supporting both productivity and flexibility. Requirements Currently studying for a PhD in Computer Science, Engineering, Mathematics or a related discipline (or recently completed). Strong understanding of computing concepts such as algorithms, data structures, distributed computing, and optimisation. Experience in rapid prototyping using Python and PyTorch. A first-author publication in a recognised AI conference or journal is required. Additional experience in foundation models, diffusion models, software engineering, or distributed machine learning systems may be beneficial. If you are looking to contribute to advanced AI research within a collaborative and well-resourced environment, you are encouraged to apply and explore how your work could contribute to both academic and real-world impact.