About The Position

The 2026 EBSCO Semantic Enrichment internship is an opportunity for a college student that wants hands-on experience exploring search analytics, machine learning, and generative AI technology on world-class search platforms and large-scale content sets in a B2B organization that serves top academic institutions and libraries around the world.

Requirements

  • Undergraduate or Graduate student graduating December 2026 or later, eligible to work in USA
  • Enthusiastic interest in AI, machine learning, data science, natural language processing, information retrieval, and/or search relevancy
  • Demonstrable proficiency in Python and working with large data sets

Responsibilities

  • Partner with the Semantic Enrichment team to explore new techniques and applications of machine learning and generative AI technologies, which may include prompt engineering, function calling, classification, and embeddings and vectorization
  • Develop strong requirements by investigating workflows, collaborating with stakeholders, and researching AI-based solutions
  • Collect and analyze large sets of data, which may include search queries and events, metadata, and full text data, providing reports and summarizing key findings to drive tangible business results
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