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Semantic Models of Structured Data Internship at Teradata in Boise, Idaho, United States Job Description Our Company At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers' customers to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. Our Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day. Location Our program is fully virtual. Interns must remain in the US for the duration of the internship. What You'll Do + Assist ongoing research by Senior Teradata staff into the integration of Semantic Labeling of structured data with Retrieval Augmented (query) Generation (RAG) tools. + We have an ongoing (three year) project that takes as its goal discovering 'Semantics' (structure, rules, features) of a Structured Data Corpus . The internship will be focused on using this Semantic Map to automatically build a Knowledge Graph which can then be used by the RAG tool sets to better support 'Natural Language' data analysis. There are three ways we will measure success in this project: + Product Impact - Teradata has a team dedicated to RAG work. We would like to (positively) impact their product development schedule. + Patent Impact - We would like to be able to submit Intellectual Disclosure Reports (IDRs) that Teradata can submit as Patents. + Paper Impact - We would like to be able to write up the results of the work for academic publication (SIGMOD, VLDB, etc) Who You'll Work With + The team consists of Paul G. Brown (Teradata Engineering Fellow) to whom the intern will report, and a small number (one to two) of Teradata employees (TBD) working within the Research Group at Teradata. In addition to being focused on the Knowledge Graph discovery, the project team will be working with the core Teradata Engineering Team responsible for the company's RAG features and functionality. What Makes You a Qualified Candidate + Must be enrolled in BS/MS/PhD program, with a graduation date between December 2025-June To view full details and how to apply, please login or create a Job Seeker account