Summer 2027 Intern - Machine Learning Engineering

Workiva is a technology company providing an AI-powered platform for finance, risk, and sustainability management. The Machine Learning Engineering Intern will support the development, deployment, and monitoring of machine learning models by building tools, integrating AI technologies, assisting with AI agents, and contributing to testing and Agile development.

Responsibilities:

• 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

Requirements:

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