Note: The job is a remote job and is open to candidates in USA. Workiva is hiring a Machine Learning Engineering Intern to support data scientists in its Data Management and Analytics organization. The role contributes to developing, deploying, and monitoring machine learning models, tooling, and AI agents across the machine learning lifecycle.

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

Skills

• 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
• Eligibility for this internship requires the candidate to reside in and be legally authorized to work in the country where the position is located for the entire duration of the internship
• 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

Benefits

• 401(k) participation and match
• Paid sick leave
• A unique opportunity to further your learning experience through additional internship seasons
• Primarily a remote opportunity; if located near an office hub, you may work in a hybrid capacity and use office spaces
• Work where you work best—either from an office or remotely from any location within your country of employment

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