Intern Researcher in Computer Vision and Machine Learning
Samsung
Hybrid 🏡🏢 05 March
R&D, Innovation
Cambridge, United Kingdom 🇬🇧
Position Summary
Samsung is the global leader in consumer electronics and the core components that go into them. It produces products found in every room of the home, from televisions, washing machines, ovens and microwaves to televisions, vacuum cleaners and of course, smartphones. Samsung is now on a mission to embedded AI within all of these devices, while also seeking to invent the next generation of consumer products that AI can enable. Samsung’s network of five global AI labs spearheads the company’s most ambitious research projects in AI. Among these the Cambridge lab is the largest, performing world-class blue-sky AI research with an open and collaborative approach to science. The lab publishes its results in top scientific venues and releases open-source code and datasets to facilitate engagement with the wider academic community. In service of our larger mission to Samsung consumers, the Cambridge lab has also been successful in transferring some of the technology developed in-house into the hands of users. Through collaborations with other parts of the company, techniques and AI models developed in the lab are now used by millions of consumers world-wide on Samsung platforms, such as the Galaxy smartphone.Role and Responsibilities
Samsung AI Centre (AIC-Cambridge) are looking for exceptional interns to undertake a 6-month internship programme during 2025.
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 to with the aim of publishing research in top conferences, filing patents, sharing reproducible code to the broader AI community on GitHub, and contributing to commercial tech transfers. Interns will be affiliated to one of the three labs within Cambridge and will be assigned senior mentors to help develop skills, and guide the generation of publications and impact. Topics of interest include, but are not limited to the following:
Future Interaction Lab: Vision & language, large scale model training, video understanding, image generation.
Embedded AI Lab: Efficient foundation model architectures, AutoML, Model compression, Speech Recognition and Generation, NPU Hardware design, diffusion models.
Machine Learning/Data Intelligence Lab: Meta-learning, In-Context Learning and LLMs, Neuro-Symbolic Learning, Neural Rendering.
Key Responsibilities:
Conduct cutting-edge research to develop state-of-the-art solutions to existing problems and/or propose novel research challenges considering real-world case studies in AI.
Publish in top-tier conferences and journals, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, ACL, InterSpeech, etc.
Development of high quality code with detailed documentation to support reproducible research in local and international research communities in AI.
Skills and Qualifications
Essential Skills & Qualifications
Currently studying for a PhD in Computer Science, Engineering, Mathematics or a related discipline (or just completing).
Good command of computing concepts (algorithms, data structures, parallel/distributed computing, optimization, etc).
Experience in quick prototyping using Python and PyTorch.
At least one first-author publication in top conferences and journals such as: NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, AAAI, InterSpeech, EMNLP, ACL, MobiComm, etc.
Desirable Skills
Experience and demonstrated output on Foundation Models research involving (visual) LLMs and/or Diffusion models.
Experience in software engineering & development in a professional environment. Experience with distributed GPU implementation of ML algorithms
Experience with on-device implementation of ML algorithms.
Experience in one or more of AIC-Cambridge topics of interest summarised above.
Contract Type: 6 Month Internship
Location: Cambridge, UK
Hybrid Policy: 3 days onsite and 2 days working from home weekly
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.
* Please visit Samsung membership to see Privacy Policy, which defaults according to your location, at: https://account.samsung.com/membership/policy/privacy. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here: https://europe-samsung.com/ghrp/PrivacyNoticeforEU.html
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