Position Summary
We currently have an exciting opportunity available for a Machine Learning Engineer to join the AI Research Team here at Samsung.
The Samsung Research and Development Institute, UK (SRUK), conducts cutting-edge applied research on AI foundations and challenges to develop state-of-the-art solutions for real-world large-scale problems. The AI Research Team focuses on diverse AI fields, including machine learning, deep learning, and computer vision.
This is an outsourced contract role working on an hourly rate via one of our preferred recruitment agencies. The contract will run until 31st Dec 2025.
Role and Responsibilities
As a forward-thinking company at the forefront of innovation, we seek an individual passionate about pushing the boundaries of AI:
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, 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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