Overview

Position: Machine Learning Engineer on the AI Research Team at Samsung. This is an outsourced contract role working on an hourly rate via a preferred recruitment agency, with the contract running until 31 December 2025.

Role and Responsibilities

• Conduct cutting-edge research to develop state-of-the-art solutions or propose novel research challenges based on real-world AI case studies.
• 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, Parameter-Efficient Fine-Tuning (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 working 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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