• Job Description

  Req#: R105923

  Position Summary

  The AI Research 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 multi-modal and 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 and computer vision 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.
  
  These will be 3 month internships to begin as soon as possible. We politely request that you only apply if you already have the right to work in the UK and you able able to start the role within 1 month of accepting it.

  Role and Responsibilities

  As an Intern, you will:

  • Innovate & develop state-of-the-art solutions to industry relevant problems in the field of on-device visual and multi-modal 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

  Essential:

  • Perusing MSc or 1st year of PhD degree in ML/AI, Computer Science/Engineering, Mathematics, Statistics, or related disciplines.

  • Strong fundamentals in machine learning and computer vision.

  • Experience in least one of the following domains:

    • Computer vision.

    • Data clustering.

    • Multi-modal AI.

  • Demonstrated success:

    • Strong development skills with Python.

    • 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 (not essential):

  • Experience in least one of the following research topics:

    • Foundation models (e.g. vision transformers, visual-language models).

    • Multi-view clustering.

    • Model compression (e.g. distillation, quantization, pruning).

    • Model fine-tuning.

  • Publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, ICASSP, similar).

  • 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: 3 month internship

  Start date: August / September 2025

  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.

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• About the company

  Samsung is committed to complying with local laws and regulations as well as applying a strict global code of conduct to all employees. It believes that ethical management is not only a tool for responding to the rapid changes in the global business environment, but also a vehicle for building trust with its various stakeholders including customers, shareholders, employees, business partners and local communities. With an aim to become one of the most ethical companies in the world, Samsung continues to train its employees and operate monitoring systems, while practicing fair and transparent corporate management.

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