
Samsung Group is a South Korean multinational manufacturing conglomerate headquartered in the Samsung Town office complex in Seoul
AI Research Intern - Agentic AI at Samsung
About the role
Position Summary
Samsung Research UK (SRUK) is seeking exceptional and highly motivated Interns to join our growing AI team in Staines-upon-Thames. We are at the forefront of developing innovative technologies for future Samsung devices and services, and this role offers a unique opportunity to shape the next generation of mobile experiences. You will be instrumental in translating cutting-edge research into real-world impact, working on challenges that demand both creative problem-solving and robust engineering practices.
This is a chance to join a dynamic team that is pushing the boundaries of what’s possible with on-device AI, bringing advanced Agentic Agents and LLMs onto mobile and server platforms. You will see your work shipped in production and running in the hands of real users. We welcome applications from individuals with strong experience in building and deploying complex machine learning systems, and offer the opportunity to deepen your expertise in a technically challenging and rewarding environment.
Role and Responsibilities
As Intern, you will:
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Design and develop agentic systems that exhibit autonomous decision-making, goal-setting and task completion.
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Design and optimize agentic memory and memory agent frameworks, and multi-agent-interactions.
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Finetune and deploy various LLMs and adaptors for on-device and on-server applications using various optimization techniques including reinforcement learning and supervised finetuning.
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Contribute code libraries by adding new features and improving its capabilities.
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Lead the development of software prototypes and experimental systems, ensuring high code quality and maintainability.
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Collaborate with a multidisciplinary team of researchers and engineers to integrate research findings into Samsung products and services.
Skills and Qualifications Required Skills
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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.
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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.
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Deep technical expertise on LLMs: Expertise in fine-tuning, prompt engineering and deploying Hugging Face models and vLLMs.
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Proven track record in single and multi-agent system design.
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Proficiency in reinforcement learning (RL) and supervised finetuning (SFT) to train and finetune Agentic AI modules.
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Proficiency in designing memory systems (episodic, semantic and procedural memory, and other tools like vector and chrome databases).
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Expert proficiency in Python programming language.
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Proficiency in Pytorch, with experience in NLP tasks.
Desirable Skills
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Previous hands-on experience with deep learning model optimization: quantization, pruning, distillation, or operator-level optimizations.
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Experience with deploying AI models on-device (mobile, embedded, edge accelerators, etc.).
Contact Type:
5 month internship to start as soon as possible
Location:
Samsung R&D Institute, Staines-upon-Thames, Surrey, UK
Hybrid Working:
3 days onsite (minimum) and 2 days working from home 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, which defaults according to your location, at: https://account.samsung.com/membership/policy/privacy. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here: https://europe-samsung.com/ghrp/PrivacyNoticeforEU.html
Required skills
Machine learning
LLMs
Agentic AI
Model deployment
Reinforcement learning
Supervised fine-tuning
Python
Software engineering
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About Samsung

Samsung
PublicA technology company that engages in consumer electronics, IT and mobile communications, and device solutions.
10,001+
Employees
Seoul
Headquarters
$267B
Valuation
Reviews
10 reviews
4.0
10 reviews
Work-life balance
3.2
Compensation
3.5
Culture
4.1
Career
3.0
Management
3.4
72%
Recommend to a friend
Pros
Great team culture and collaborative atmosphere
Innovative projects and learning opportunities
Good work-life balance and flexible hours
Cons
Long hours and heavy workload
High stress and tight deadlines
Fast-paced environment can be overwhelming
Salary Ranges
22 data points
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Data Scientist L3
0 reports
-
total per year
Base
-
Stock
-
Bonus
-
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
25%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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