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- Tasks: Join our AI team to develop innovative technologies and shape future mobile experiences.
- Company: Samsung Research UK, a leader in cutting-edge technology.
- Benefits: Gain hands-on experience, work in a dynamic environment, and enjoy hybrid working.
- Other info: Collaborate with experts and enhance your skills in a supportive, innovative setting.
- Why this job: Make a real impact by translating research into practical applications for millions of users.
- Qualifications: PhD or Master's in relevant fields with strong machine learning experience.
The predicted salary is between 20000 - 30000 £ per year.
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 LLMs, RAG systems and Knowledge Graphs 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 ResponsibilitiesAs Intern, you will:
- Architect and maintain knowledge graphs (KG), leveraging ontologies and graph databases.
- Design and implement RAG and GraphRAG pipelines to enhance reasoning for structured, contextual and dynamic data.
- Evaluate and optimize KG, RAG and GraphRAG systems for accuracy, latency and memory trade-off.
- Finetune and deploy various LLMs and adaptors for on-device applications.
- Build robust data generation and collection pipelines for model training and KG, RAG or GraphRAG construction.
- Contribute code libraries by adding new features and improving its capabilities.
- Evaluate the performance of algorithms and systems through rigorous experimentation and statistical analysis.
- 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.
- 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.
- First-author publication in one of the following conferences and journals: NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR.
- Deep technical expertise on Knowledge Graphs: Proficiency in RDF, SPARQL and tools like Neo4j.
- Deep technical expertise on RAG/GraphRAG: Hands-on experience with frameworks like LangChain, LLamaIndex and Vector Databases.
- Deep technical expertise on LLMs: Expertise in fine-tuning, prompt engineering and deploying HuggingFace models and vLLMs.
- Deep technical expertise on Databases: Proficiency in SQL and NoSQL systems, with optimization skills for high-volume data.
- Expert proficiency in Python programming language.
- Proficiency in Pytorch, with experience in NLP tasks.
- Expert proficiency in Java/Kotlin programming language.
- 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.).
Location: Samsung R&D Institute, Staines-upon-Thames, Surrey, UK
Hybrid Working: 3 days onsite (minimum) and 2 days working from home weekly.
AI Research Intern - Knowledge Graphs employer: Samsung Electronics Perú
Contact Detail:
Samsung Electronics Perú Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Intern - Knowledge Graphs
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Samsung Research UK on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your projects related to Knowledge Graphs, RAG systems, and LLMs. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python, SQL, and machine learning concepts. Use platforms like LeetCode or HackerRank to sharpen your coding skills and tackle common interview questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in the role and the company. Don’t forget to tailor your application to highlight your relevant experience!
We think you need these skills to ace AI Research Intern - Knowledge Graphs
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Research Intern role. Highlight your experience with Knowledge Graphs, RAG systems, and any relevant projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Let us know what excites you about working at Samsung Research UK.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a publication or a personal project, we love seeing practical applications of your skills in action!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you're serious about joining our team at Samsung Research UK.
How to prepare for a job interview at Samsung Electronics Perú
✨Know Your Stuff
Make sure you brush up on your knowledge of Knowledge Graphs, RAG systems, and LLMs. Be ready to discuss your experience with RDF, SPARQL, and tools like Neo4j. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Projects
Prepare to talk about any relevant projects or research you've worked on, especially those that resulted in publications. Highlight your contributions and the impact they had, as this will show your potential value to the team.
✨Practice Problem-Solving
Expect some technical questions or problem-solving scenarios during the interview. Practise explaining your thought process clearly and concisely. This will help you stand out as someone who can tackle complex challenges effectively.
✨Be a Team Player
Since collaboration is key in this role, be prepared to discuss how you've worked in multidisciplinary teams before. Share examples of how you contributed to group projects and how you handle feedback and differing opinions.