Company

Ebsco Information ServicesSee more

addressAddressRemote - Massachusetts, United States
CategoryInformation Technology

Job description

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 Opportunity

 The 2024 EBSCO Semantic Enrichment internship is an opportunity for a college student that wants to explore the practical application of machine learning and generative AI technology on 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 EDT

 

As part of the EIS Summer Intern Program, interns receive a dedicated orientation program starting on or before June 10th, 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-opportunities

 

What You’ll Do

  • Partner with the Semantic Enrichment and Knowledge Engineering 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
  • Programmatically collect and analyze large sets of data including metadata and full text data, providing reporting and summarization of key findings

  

Your Team

You will be working at the intersection of the EBSCO Semantic Enrichment team and the EBSCO Knowledge Engineering team. Semantic Enrichment is responsible for the maintenance of proprietary subject taxonomies, 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 Knowledge Engineering team is responsible for the maintenance of the EBSCO subject knowledge graph, cross-department data modeling projects, and the integration of subject information into EBSCO’s proprietary search stack.

 

About You

  • Undergraduate or Graduate student graduating December 2024 or later, eligible to work in USA
  • Strong academic record
  • Enthusiastic interest in AI, machine learning, and/or semantics
  • Demonstrable proficiency in Python
  • Experience dealing with large data sets
  • Effective communication skills; concise, targeted, clear, and persuasive

 

What sets you apart

  • 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 semantics
  • 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: February 29, 2024
  • 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)

 

Our Offer to You 

Compensation is a competitive hourly rate.

 

We work hard to embrace diversity, equity and inclusion and encourage everyone at EBSCO to bring their authentic selves to work every day.  We have a wide representation of employee resource groups.  To learn more, visit https://www.ebsco.com/about/diversity-equity-inclusionv  

 

The EBSCO Way 

At EBSCO, our culture is defined by ten guiding principles. We put our customers first, and we're always looking for ways to innovate and improve. We make decisions based on facts, communicate openly, and hold ourselves accountable for results. Trust, respect, and care for each other are essential to how we work. Every day, our actions and teamwork shape who we are as a company. To learn more about our culture, visit https://www.ebsco.com/about/culture.   

 

 

 

 

We 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.

Refer code: 8070247. Ebsco Information Services - The previous day - 2024-02-02 15:02

Ebsco Information Services

Remote - Massachusetts, United States

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