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 RandD 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.Please visit Samsung membership to see Privacy Policy. The policy defaults according to your location. You can change Country/Language at the bottom of the page. If you are a European Economic Resident, please visit https://europe-samsung.com/ghrp/PrivacyNoticeforEU.html

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