Position Summary
The AI team at Samsung Research UK is looking for interns to join our team at the Staines-upon-Thames office. The team undertakes projects involving the application of cutting-edge research into proof-of-concept and commercial products for Samsung devices and services. The prospective candidate will have the opportunity to be part of building next generation mobile devices from Samsung. The candidate will contribute to research towards pushing the boundary of audio-visual AI. The goal of the research is to enable new features and capabilities for Samsung’s flagship mobile devices. We encourage enthusiastic researchers with strong academic background and expertise in machine learning to apply. You will be poised to grow and expand your programming skills and expertise into a dynamic new set of research problems. This position will require you to work closely with researchers and engineers to enable and accelerate new research efforts for on-device AI.Role and Responsibilities
As a Multimodal AI - Intern, you will:
Innovate & develop state-of-the-art solutions to industry relevant problems in the field of on-device audio-visual AI
Actively propose and prototype novel research ideas/solutions considering real-world constraints
Work on complex systems and develop research ideas into production ready software
Incorporate software engineering practices at both research and development stages
Communicate and disseminate research results via papers and/or reports
Skills and Qualifications
Required Skills:
Perusing PhD degree in ML/AI, Computer Science/Engineering, Mathematics, Statistics, or related disciplines
Strong fundamentals in machine learning and artificial intelligence
First author publications in top ML/AI conferences/journals (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR, ICASSP, INTERSPEECH, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR or similar)
Machine Learning experience in least one of the following domains:
Multimodal LLMs – audio and/or video
Contrastive Learning (e.g. multi-modal feature alignment)
Model compression methods (e.g. quantization, pruning, knowledge distillation)
Demonstrated success:
Strong development skills with Python and/or C/C++ is required.
Experience with programming using popular machine learning frameworks such as PyTorch and/or Tensorflow
Creating comprehensive and well-written documentation.
Familiarity with software engineering practices and tools such as Git
Excellent communication, teamwork and a results-oriented attitude
Proficiency in problem solving and debugging
Desirable Skills:
Experience in multimodal emotion recognition and foundational face models.
Experience in multi-task learning and deception detection.
A proven track record of developing complex training and inference pipelines
Knowledge of embedded and/or distributed machine learning methods and tools
Experience with model optimization, profiling and performance improvement of AI pipelines
Contribution to open source software libraries
Contract Type: 6 month internship or 6 month outsourced contract via agency
Location: Staines-upon-Thames, Surrey, UK
Hybrid Working: 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
Company:
Samsung ElectronicsEmployee Type:
Full timeLocation:
United KingdomSalary:
Unkown