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.

What You'll Do

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

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

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

What You'll Need 

Minimum Qualifications

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

Preferred Qualifications

Work effectively within a geographically distributed team

Demonstrate strong communication and organizational skills

Familiarity with the data science lifecycle and basic machine learning concepts

Experience with containerization tools such as Docker and Kubernetes

Knowledge of cloud platforms such as AWS

Proficiency with Python and/or Go

Familiarity with REST APIs

Travel Requirements & Working Conditions 

Minimal travel 

Reliable internet access for any period of time working remotely, not in a Workiva office

Sponsorship Requirements

Must be authorized to work in the United States and not require sponsorship now or in the future

When can you expect to hear back?
We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

All postings close: September 28th, 2025

Interviews: Early to mid October

Offers: Mid - late October

2026 Start Dates:
This position has opportunities to start in the Summer. Please see our start date below and let us know your availability.

Summer 2026 Internships: Monday, May 18, 2025 (40/hours per week max)

How You’ll Be Rewarded

✅ 401(k) participation and match

✅ Paid sick leave

✅ A unique opportunity to further your learning experience through additional internship seasons

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.com.

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.