Workiva is looking to hire a Machine Learning Engineering Intern to support the development, deployment, and monitoring of machine learning models, contributing to the Data Management and Analytics organization's efforts.
Requirements
- Basic experience with source control systems such as Git
- 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
Responsibilities
- 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
Other
- Currently pursuing a bachelor’s degree or higher in statistics, math, computer science, physics, electrical engineering, or equivalent certifications
- Work effectively within a geographically distributed team
- Demonstrate strong communication and organizational skills
- Familiarity with the data science lifecycle and basic machine learning concepts
- Must be authorized to work in the United States and not require sponsorship now or in the future
