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Samsung
Samsung

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

RoleMachine Learning
LevelIntern
LocationCommunications House, Staines-Upon-Thames
WorkOn-site
TypeInternship
Posted1 day ago
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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:

  • 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.

Skills and Qualifications Required Skills

  • 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 Hugging Face 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.

Desirable Skills

  • Previous hands-on experience with deep learning model optimization: quantization, pruning, distillation, or operator-level optimizations.

  • 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.

Required skills

Machine learning

LLMs

Agentic AI

Model deployment

Reinforcement learning

Supervised fine-tuning

Python

Software engineering

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About Samsung

Samsung

Samsung

Public

A 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