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Samsung Electronics

AI Research Intern

Samsung Electronics

. Design and develop agentic systems that exhibit autonomous decision-making, goal-setting and task completion .

Posted 5/1/2026internshipStaines-Upon-Thames • 🇬🇧 United KingdomEntry LevelWebsite

Tech Stack

Tools & technologies
PythonPyTorch

About the role

Key responsibilities & impact
  • Design and develop agentic systems that exhibit autonomous decision-making, goal-setting and task completion
  • Design and optimize agentic memory and memory agent frameworks, and multi-agent-interactions
  • Finetune and deploy various LLMs and adaptors for on-device and on-server applications using various optimization techniques including reinforcement learning and supervised finetuning
  • Contribute code libraries by adding new features and improving its capabilities
  • Lead the development of software prototypes and experimental systems, ensuring high code quality and maintainability
  • Collaborate with a multidisciplinary team of researchers and engineers to integrate research findings into Samsung products and services.

Requirements

What you’ll need
  • Currently studying for a PhD in Computer Science, Engineering, Mathematics or a related discipline (or just completing)
  • Masters graduate with relevant knowledge and experience also considered
  • 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
  • Deep technical expertise on LLMs: Expertise in fine-tuning, prompt engineering and deploying HuggingFace models and vLLMs
  • Proven track record in single and multi-agent system design
  • Proficiency in reinforcement learning (RL) and supervised finetuning (SFT) to train and finetune Agentic AI modules
  • Proficiency in designing memory systems (episodic, semantic and procedural memory, and other tools like vector and chrome databases)
  • Expert proficiency in Python programming language
  • Proficiency in Pytorch, with experience in NLP tasks.

Benefits

Comp & perks
  • Hybrid Working: 3 days onsite (minimum) and 2 days working from home weekly

ATS Keywords

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Hard Skills & Tools
autonomous decision-makinggoal-settingtask completionagentic memory frameworksmulti-agent interactionsfine-tuningreinforcement learningsupervised finetuningPythonPytorch
Soft Skills
collaborationleadershipcode qualitymaintainability
Certifications
PhD in Computer ScienceMasters in relevant discipline