Samsung Intern / Contractor – Multimodal AI Research - Immediate Start 

United Kingdom, England, Borough of Spelthorne 

417119652

The role would suit a PhD student looking for an internship or a PhD graduate who is looking for a 6 month contract.The location is Staines-upon-Thames, Surrey, UK. We operate a hybrid model of 3 days onsite and 2 days working from home weekly. It is an urgent requirement so we politely request that you only apply if you can start the job within 1 month of accepting it.

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

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

Hybrid Working:3 days onsite and 2 days working from home weekly

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