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AI Research Intern – Knowledge Graphs
Samsung Electronics. Architect and maintain knowledge graphs (KG), leveraging ontologies and graph databases.
Tech Stack
Tools & technologiesJavaKotlinNeo4jNoSQLPythonPyTorchSQL
About the role
Key responsibilities & impact- Architect and maintain knowledge graphs (KG), leveraging ontologies and graph databases.
- Design and implement RAG and GraphRAG pipelines to enhances 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.
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.
- 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: Hand-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 (Desirable).
- Previous hands-on experience with deep learning model optimization: quantization, pruning, distillation, or operator-level optimizations (Desirable).
- Experience with deploying AI models on-device (mobile, embedded, edge accelerators, etc.) (Desirable).
Benefits
Comp & perks- Flexible working arrangements
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Knowledge GraphsRDFSPARQLNeo4jRAGGraphRAGLangChainLLamaIndexVector DatabasesLLMs
Soft Skills
collaborationleadershipcode qualitymaintainability
Certifications
PhD in Computer ScienceMasters in relevant discipline