Summer 2027 Intern - Machine Learning Engineering

Workiva Inc.; Northern (KY); Hybrid; USD 47,000 - 63,000; Part time

Benefits offered by this job

401(k) match

Paid sick leave

Opportunities for continued internship

Job summary

Workiva Inc. is offering a remote-friendly internship focused on building tooling for machine learning model development and deployment. You’ll work under a Machine Learning Engineer to prototype tools, integrate frameworks like LlamaIndex and LlamaParse, and contribute to AI agents for data processing tasks.

The role emphasizes collaboration, code reviews, testing, and agile teamwork. Ideal candidates are pursuing a relevant degree and possess strong programming, Git, and cloud skills, with

Qualifications

• Pursuing a bachelor’s degree or higher in a relevant field.
• Solid programming skills demonstrated in coursework or projects.
• Experience with Git or similar source control tools.
• Familiarity with containerization and cloud concepts is a plus.

Responsibilities

• Participate in discovery, requirements gathering, and prototyping of new tools and libraries.
• Implement tooling and features to support ML model development and deployment under supervision.
• Help integrate tools like LlamaIndex and LlamaParse into workflows.
• Assist in building and deploying AI Agents to automate data processing and analysis tasks.
• Participate in code reviews and update tests (unit, integration).
• Track tasks and provide status updates using internal tools.
• Work in an Agile development environment with teammates.

Skills

Programming skills

Python

Go

Git

REST APIs

Docker

Kubernetes

AWS

Communication skills

Education

Bachelor's degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field

Currently pursuing a bachelor’s degree or higher

Tools

Docker

Kubernetes

Git

REST APIs

AWS

Job description

What You'll Do

• 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

What You’ll Need

• Minimum Qualifications: 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
• Preferred Qualifications: 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

Travel Requirements & Working Conditions

Minimal travel

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

Location

This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

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!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October 2027

Start Dates: This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)

Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

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

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation—ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world. At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities.

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.

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