Overview

Machine Learning Engineer - 3/4 Month Contract at Samsung Electronics UK is an outsourced contract role paid on an hourly rate via one of Samsung’s preferred recruitment agencies. The contract will run until 31 December 2025. The role is with Samsung R&D Institute, UK (SRUK), within the AI Research Team focusing on diverse AI fields including machine learning, deep learning, and computer vision.

Role and Responsibilities

• Conduct cutting-edge research to develop state-of-the-art solutions or propose novel research challenges based on real-world case studies in AI.
• Develop high-quality code with detailed documentation to support reproducible research in local and international AI communities.
• Review state-of-the-art research papers and develop prototype solutions.
• Publish findings 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

• Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines.
• Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing).
• Strong fundamentals in Machine Learning, Computer Vision, and Deep Learning.
• Hands-on experience in areas such as Generative AI, Foundation Models, PEFT, Data/Model Privacy, or Model Optimization for Multi-Task Learning.
• First-author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI).
• Experience in Linux environments.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning libraries like PyTorch, SciKit, NumPy, etc.
• Excellent communication skills, teamwork abilities, and a results-oriented attitude.
• Strong problem-solving and debugging skills.

Desirable Skills

• Expertise in Image/Video generation, PEFT-LoRA, Diffusion/Autoregressive Models.
• Experience in Knowledge Distillation.
• Experience in computer graphics and rendering for visualization.

Location and Hybrid Working

• The role is based at Samsung R&D Institute in Staines-upon-Thames, Surrey, UK.
• Samsung operates a hybrid policy of 3 days onsite and 2 days remote 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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