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!

All postings close: September 28, 2024

Interviews: Early to Mid October

Offers: By end of October

2025 Start Dates: This position has opportunities to start in the Summer. Please see our start date below and let us know your availability.

Summer Internships: Monday, May 19, 2025 (40/hours per week max) The Machine Learning Engineering Intern acts as part of a collaborative team within the Data Management and Analytics organization. The team's primary role is to support the development, deployment, and monitoring of machine learning models developed by Workiva's data scientists.

What You'll Do

Participates in discovery, requirements gathering, and prototyping of new tools and libraries

Implements tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer

Participates in code reviews

Implements and updates tests (unit, integration)

Tracks tasks and completes status updates using internal tools

Works in an Agile development methodology alongside their teammates

What You'll Need Minimum Qualifications

Currently pursuing a bachelor's degree or higher in statistics, math, computer science, physics, electrical engineering, or equivalent certifications (required)

Solid programming skills

Ability to work within a geographically distributed team

Basic experience with source control systems such as Git

Preferred Qualifications

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

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

Must be authorized to work in the United States and not require sponsorship now or in the future

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

We strongly encourage and welcome people from historically marginalized groups to apply.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please emailearlycareer@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.#LI-MF1

Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an