Remote ML Engineering Intern - Build Tools & AI Pipelines

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

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