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Machine Learning Internship

Date:  Jan 25, 2023
Location: 

remote, MA, US, remote

Onsite or Remote:  Remote
Company Name:  EBSCO Information Services

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.

Machine Learning Engineering Intern

 

Project Goals

Work on improving existing classification models currently running at Ebsco. Today Ebsco has a recommendation engine powered by machine learning models that they want to improve in one or more of the following ways

- Improve the quality of the models

- Enable the model to apply to more data sources than they can today

 

Accurate and widely applicable classification is a key differentiator to Ebsco’s success, allowing Ebsco to provide more metadata so researchers using our products can more easily filter out irrelevant data

 

Learning goals for intern:

The intern will learn to work with stakeholders on understanding the current limitations of a recommendation engine, research and analyze proposals to improve the models to be able to have better accuracy and/or work for new scenarios while maintaining the model's existing capabilities in areas that are already meeting the desired outcome. Re-engineered models will need to iterate through the entire ML development life cycle in an enterprise setting, going from proof-of-concept experiments to deploying solutions in a live production environment while gaining vital skills in how academic concepts can be transformed into scalable enterprise solutions.

 

Specifically, the intern will assist with various ML tasks such as:

- Research methods to improve the models

- Feature Engineering

- Creation and testing of the Machine Learning models


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.


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