AI Research Intern - Knowledge Graphs
UK Visa Sponsorship Analytics
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Samsung Electronics. For the most up-to-date job details, please visit the official website by clicking "Apply Now."
Join the Future of AI: AI Research Intern at Samsung Research UK!
Location: Staines-upon-Thames, Surrey, UK
Contract: 5 month internship to start as soon as possible
Shape the Future of Technology with Samsung Research UK
At Samsung Research UK (SRUK), we're at the forefront of innovation, pushing the boundaries of what's possible with on-device AI. We're looking for exceptional and highly motivated Interns to join our dynamic AI team and contribute to the development of cutting-edge technologies that will power the next generation of Samsung devices and services.
This is your chance to work on groundbreaking projects, from advanced LLMs and RAG systems to Knowledge Graphs, and see your work deployed in real-world applications used by millions. If you're passionate about AI, machine learning, and turning research into impactful solutions, this is the opportunity for you!
What You'll Do
- Architect and Maintain Knowledge Graphs (KG): Leverage ontologies and graph databases to build and optimize KG systems.
- Design RAG and GraphRAG Pipelines: Enhance reasoning capabilities for structured, contextual, and dynamic data.
- Optimize Systems: Evaluate and fine-tune KG, RAG, and GraphRAG systems for accuracy, latency, and memory efficiency.
- Deploy LLMs: Fine-tune and deploy advanced LLMs for on-device applications.
- Build Data Pipelines: Develop robust data generation and collection pipelines for model training and system construction.
- Contribute to Code Libraries: Add new features and improve existing capabilities in our code libraries.
- Evaluate Performance: Conduct rigorous experimentation and statistical analysis to assess algorithm and system performance.
Who You Are
- Education: Currently pursuing a PhD in Computer Science, Engineering, Mathematics, or a related discipline (or recently completed). Master's graduates with relevant experience are also considered.
- Publication in top-tier conferences/journals (NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, JMLR).
- Technical Skills:
- Deep expertise in Knowledge Graphs (RDF, SPARQL, Neo4j).
- Hands-on experience with RAG/GraphRAG frameworks (LangChain, LLamaIndex, Vector Databases).
- Expertise in fine-tuning, prompt engineering, and deploying LLMs (HuggingFace, vLLMs).
- Expert proficiency in Python and PyTorch.
- Proficiency in SQL and NoSQL databases with optimization skills for high-volume data.
- Desirable Skills:
- Proficiency in Java/Kotlin.
- Experience with deep learning model optimization (quantization, pruning, distillation).
- Experience deploying AI models on-device (mobile, embedded, edge accelerators).
Why Join Us?
- Impactful Work: Your contributions will directly influence the future of Samsung's AI-driven products and services.
- Cutting-Edge Projects: Work on innovative technologies that are shaping the future of mobile and server platforms.
- Collaborative Environment: Join a multidisciplinary team of researchers and engineers who are passionate about AI.
- Hybrid Work Policy: Enjoy flexibility with up to 2 days a week working from home.
Ready to Make a Difference?
If you're excited about the opportunity to work on transformative AI projects and be part of a global leader in technology, we want to hear from you! Apply now to join Samsung Research UK and be at the forefront of innovation!