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  • ID
    #53070176
  • Salary
    TBD
  • Source
    EBSCO Information Services
  • Date
    2024-12-13
  • Deadline
    2025-02-11
 
Full-time

EBSCO Information Services (EIS) provides a complete and optimized research solution comprised of e-journals, e-books, and research databases - all combined with the most powerful discovery service to support the information needs and maximize the research experience of our end-users. Headquartered in Ipswich, MA, EIS employs more than 2,700 people worldwide, most now working hybrid or remotely. We are the leader in our field due to our cutting-edge technology, forward-thinking philosophy, and outstanding team. EIS is a company that will motivate you, inspire you, and allow you to grow. Our mission is to transform lives by providing relevant and reliable information when, where, and how people need it. We are looking for bright and creative individuals whose unique differences will allow us to achieve this inclusive mission around the world.Your OpportunityThe 2025 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.This remote position is U.S.-based only (excluding U.S. territories), with required working hours 9am – 5pm EDTAs part of the EIS Summer Intern Program, interns receive a dedicated orientation program starting on June 2 nd and participate in enrichment and training events with fellow interns across the company. To learn more about the EIS Summer Internship Program, please visit - https://www.ebsco.com/about/internship-opportunitiesWhat You'll Do

Partner with the Semantic Enrichment and Search teams to explore new techniques and applications of machine learning and generative AI technologies including Retrieval Augmented Generation (RAG), prompt engineering, function calling, 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 including search queries and events, metadata and full text data, providing reports and summarizing key findings to drive tangible business results

Your TeamYou will be working at the intersection of the EBSCO Semantic Enrichment team and the EBSCO Search team. Semantic Enrichment is responsible for the maintenance of proprietary subject taxonomies, support for the EBSCO subject knowledge graph, the application of ML-based auto-classification of content for EIS proprietary databases, and the advancement of generative AI in the EBSCO content space. The Search team is responsible for continuously enhancing EBSCO’s already best-in-class search platforms through rigorous analysis of search relevance, relevancy tuning, and AI innovation.About You

Undergraduate or Graduate student graduating December 2025 or later, eligible to work in USA

Strong academic record

Enthusiastic interest in AI, machine learning, and/or search relevancy

Demonstrable proficiency in Python and large data sets

What sets you apart

Effective communication skills; concise, targeted, clear, and persuasive

Coursework focused on Computer Science, Information or Data Science, Library Science, Software Engineering, Artificial Intelligence, or Computational Linguistics

Familiarity with principles of taxonomies or ontologies, graph technology, content classification, or search analytics

Experience with AI or ML data platforms such as Microsoft Azure or Amazon Bedrock

Experience analyzing and manipulating unstructured and semi-structured data (PDF, XML, JSON)

What is our application process like?

Application deadline: January 31, 2025

Submit an updated resume with GPA (4.0 scale) and graduation year clearly visible

SHORT cover letter to tell us why you are interested (1 page or less)

Pay RangeUSD $20.00 - USD $23.00 /Hr.The actual salary offer will carefully consider a wide range of factors including your skills, qualifications, education, training, and experience, as well as the position’s work location.EBSCO provides a generous benefits program including:  -Medical, Dental, Vision, Life and Disability Insurance and Flexible spending accounts  -Retirement Savings Plan-Paid Parental Leave -Holidays and Paid Time Off (PTO) -Mentoring program And much more! Check it out here: https://www.ebsco.com/about/benefitsWe are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.Not seeing the perfect job?Join the EBSCO talent community to receive updates on new opportunities that align with your skills and interests - register using the links below:Experienced Talent Community (https://talent.ebsco.com/exp/talentcommunity/form)Early Career/Intern Talent CommunityLocation US-RemoteID 2024-1645Category Content ManagementPosition Type InternRemote Yes

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