Machine Learning Intern, Workiva

• Currently pursuing a bachelor’s degree or higher in statistics, math, computer science, physics, electrical engineering, or equivalent certifications
• Possess solid programming skills
• Basic experience with source control systems such as Git
• Reliable internet access for any period of time working remotely, not in a Workiva office
• Must be authorized to work in the United States and not require sponsorship now or in the future

Desirable

• As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle
• Participate in discovery, requirements gathering, and prototyping of new tools and libraries
• Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
• Participate in code reviews
• Implement and update tests (unit, integration)
• Track tasks and complete status updates using internal tools
• Work in an Agile development methodology alongside your teammates
• Summer 2026 Internships: Monday, May 18, 2026 (40/hours per week max)

• All postings close: February 20, 2026
• Interviews: Early to mid March
• Offers: Mid to late March