Machine Learning Engineer

# Summer 2027 Intern \- Machine Learning Engineering ## About the and gain hands-on experience across the machine learning lifecycle. You will support data scientists and full-time Machine Learning Engineers with the development, deployment Role Workiva is seeking a **Machine Learning Engineering Intern** to join the Data Management and Analytics organization and gain hands-on experience across the machine learning lifecycle. You will support data scientists and full-time Machine Learning Engineers with the development, deployment, testing, and monitoring of machine learning tools and models. This internship provides an opportunity to work on AI and machine learning projects, including integrating tools such as **LlamaIndex** and **LlamaParse**, building AI Agents for data processing and analysis, and contributing within an Agile engineering environment. The internship is primarily remote, with hybrid office work available near Workiva office hubs. ## Key Responsibilities - Participate in discovery, requirements gathering, and prototyping for new machine learning tools and libraries.- Implement tooling and features supporting machine learning model development and deployment under the direction of a full-time Machine Learning Engineer.- Integrate tools such as **LlamaIndex** and **LlamaParse** into existing workflows.- Assist with building and deploying **AI Agents** to automate data processing and analysis tasks.- Participate in code reviews.- Implement and update unit and integration tests.- Track tasks and provide status updates using internal tools.- Work collaboratively within an **Agile development methodology**.- Support the development, deployment, and monitoring of machine learning models. ## Required Qualifications - **Currently pursuing a bachelor's degree or higher** in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or a related field.- Solid programming skills.- Basic experience with source control systems such as **Git**. ## Preferred Qualifications - Ability to work effectively within a geographically distributed team.- Strong communication and organizational skills.- Familiarity with the data science lifecycle.- Basic knowledge of 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**. ## Skills & Competencies - Machine learning engineering- Machine learning lifecycle- Programming- Python and/or Go- Git and source control- AI Agents- LlamaIndex- LlamaParse- Data processing and analysis- Unit testing- Integration testing- Code reviews- REST APIs- Docker- Kubernetes- AWS- Agile development- Communication- Organization- Collaboration ## Education & Experience **Education** - **Currently pursuing a bachelor's degree or higher** in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or a related field. **Experience** - Solid programming skills required.- Basic Git/source control experience required.- Prior professional machine learning experience is not stated as required.- Familiarity with machine learning concepts and the data science lifecycle is preferred. ## Work Arrangement & Schedule - **Location:** Cranston, RI, US- **Primary work arrangement:** Remote- **Hybrid option:** Candidates located near a Workiva office hub may work in a hybrid capacity and use office spaces.- **Internship:** Spring or Summer 2027.- **Spring 2027 start date:** January 4, 2027; maximum 15–20 hours per week.- **Summer 2027 start date:** May 17, 2027; maximum 40 hours per week.- **Travel:** Minimal.- **Remote-work requirement:** Reliable internet access is required when working remotely outside a Workiva office.- **Posting close date:** September 27, 2026.- **Engineering posting close date:** October 2, 2026.- **Interviews:** Early to mid-October.- **Offers:** Late October. ## Compensation & Benefits - **Salary:** $40.00 - $40.00 per hour.- 401(k) participation and match.- Paid sick leave.- Opportunity to continue learning through additional internship seasons. ## Compliance / Additional Information - **Employer:** Workiva- Employment decisions are made without regard to protected characteristics including age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression