Summer 2027 Intern – Machine Learning Engineering

Job Description

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. Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
Assist in building and deploying AI Agents to automate data processing and analysis tasks
Implement and update tests (unit, integration)
Work in an Agile development methodology alongside your teammates
Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
Possess solid programming skills
Familiarity with the data science lifecycle and basic machine learning concepts
Knowledge of cloud platforms such as AWS
Proficiency with Python and/or Go
Travel Requirements & Working Conditions
Minimal travel
Reliable internet access for any period of time working remotely, not in a Workiva office
Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Engineering postings close: This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.
Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
Summer 2027 Internships: A unique opportunity to further your learning experience through additional internship seasons
Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation—ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.
The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.
Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
Workiva supports employees in working where they work best – either from an office or remotely from any location within their country of employment.