AI & Data Engineering Intern

EBSCO Information Services • Columbia, SC • 1h ago

EBSCO Information Services (EBSCO) delivers a fully optimized research experience, seamlessly integrated with a powerful discovery platform to support the information needs and maximize the research experience of our end-users. Headquartered in Ipswich, MA, EBSCO employs more than 2,700 people worldwide, with most embracing hybrid or remote work models. As an AI-enabled service leader, we thrive on innovation, forward-thinking strategies, and the dedication of our exceptional team. At EBSCO, we're driven to inspire, empower and support research. Our mission is to transform lives by providing reliable and relevant information - when, where and how people need it. We're seeking dynamic, creative individuals whose diverse perspectives will help us achieve this global, inclusive mission. Join us to help make an impact.

Your Opportunity

As a Software Development Intern, you will be working to support internal and external customer needs, you will collaborate with multi-functional teams, receive mentorship, and gain insight into our value-driven process. You will join our team of passionate and knowledgeable engineers to help build the systems that power our applications and contribute to continuously improving our engineering practices. Our goal is both to support your growth and development while empowering you for a successful start to your career. This position works with TypeScript, Java and Amazon Web Services (AWS) development on backend services.

What You'll Do

Collaborate with software engineers, data scientists, and product partners to design, build, and deploy AI-driven systems, applying best practices across model development, data pipelines, inference performance, security, and maintainability.

Partner with product management and your team to translate complex business problems into AI-ready requirements, breaking them down into clear user stories, experiments, and model evaluation criteria.

Provide ongoing maintenance, support, and enhancements in existing systems and platforms.

Address technical debt issues identified.

About You

You're pursuing a degree in Computer Science, Engineering, Data Science, or a related field, with a strong interest in AI, machine learning, or intelligent systems.

You have experience (academic, personal, or internship) with programming languages like Python or TypeScript, and familiarity with ML frameworks, data processing, or AI APIs.

You're curious, collaborative, and eager to learn-comfortable breaking down complex problems, experimenting with new technologies, and iterating based on feedback.

Proficiency with source code management tools such as git.

Pay Range

USD $20.00 - USD $26.00 /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/benefits

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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Location US-Remote

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