Machine Learning Intern

Position Summary

The Samsung Research and Development Institute, UK (SRUK) conducts cutting-edge applied research on foundations and challenges of artificial intelligence (AI) to develop state-of-the-art solutions for real-world large-scale problems. The department often disseminates the research outputs in local and international research communities such as in research seminars, and top-tier conferences and journals.

The accepted candidates will have the opportunity to work on diverse fields of AI as a member of the AI Research Team, including machine learning, deep learning and natural language processing (NLP).

Role and Responsibilities

As a forward-thinking company, we are at the forefront of innovation and seek an individual with a passion for pushing the boundaries of AI:

• 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.

• Development of high-quality code with detailed documentation to support reproducible research in local and international research communities in machine learning.

• Review the state-of-the-art research papers and develop prototype solutions.

• Publication in top-tier conferences and journals, such as NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR.

Skills and Qualifications

​Required Skills:

• Academic Background: Pursuing a PhD in ML/AI, Computer Science/Engineering, or related fields.

• Mathematical and Computer Science Fundamentals: Proficiency in calculus, probability, statistics, linear algebra, optimization, algorithms, data structures, and parallel/distributed computing.

• Machine Learning and Deep Learning: Strong understanding of ML and DL concepts.

• Research and Implementation:

  • First-author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI).

  • Hands-on experience in at least one of these areas: Generative AI, Parameter-Efficient Fine-Tuning (PEFT), Foundation Models, Large Language Models (LLMs), Data/Model Privacy, Prompting Methods, and Model Compression (e.g., Quantization, Pruning, Knowledge Distillation).

• Technical Experience:

  • Familiarity with Linux environments.

  • Proficiency in programming languages like Python, Java, or C++.

  • Experience with ML libraries such as PyTorch, SciKit, and NumPy

• Soft Skills: Excellent communication, teamwork, problem-solving, and debugging abilities.

Desirable Skills

• Advanced Expertise:

  • Text Generation, PEFT-LoRA, Autoregressive Models, and Prompting Methods.

  • Training/Fine-tuning Foundation Models and LLMs.

  • Data/Model Privacy and Model Compression techniques.

  • Retrieval Augmented Generation.

Contract Type: 2-3 Month Internship starting ASAP and running until 31st Dec 25

Location: Samsung R&D Centre, Staines-upon-Thames, Surrey, UK

Hybrid Working: Minimum of 3 days per week onsite and 2 days working from home

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