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 NeedMinimum Qualifications
- 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
- 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
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. Check out our article on Workplace Flexibility to learn more.
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!
Postings close:September 27, 2026
Engineering postings close:October 2, 2026
Interviews:Early to mid October
Offers:Late October
2027 Start Dates: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:Monday, May 17, 2027 (40/hours per week max)
How You'll Be Rewarded• Salary range in the US: $40.00 - $40.00
• 401(k) participation and match
• Paid sick leave
• A unique opportunity to further your learning experience through additional internship seasons
