Remote ML Engineering Intern — Build & Deploy AI Tools

Workiva, Inc.; United States; On-site; USD 45,000 - 65,000; Full time

Benefits offered by this job

401(k) participation and match

Paid sick leave

Opportunity for additional internship季

Job summary

Workiva, Inc. is offering a Machine Learning Engineering Intern position focused on supporting the ML lifecycle from development to deployment. You will collaborate with the Data Management and Analytics team to enable data-driven solutions and tools.

The role emphasizes hands-on learning, code reviews, testing, and agile teamwork, with a flexible, primarily remote work setup. Applicants should be pursuing a relevant degree and have strong programming fundamentals.

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.

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

Programming skills

Git

Communication

Education

Bachelor's degree or higher in Statistics/Mathematics/CS

Tools

Git

Job description

Workiva, Inc. is offering a Machine Learning Engineering Intern position focused on supporting the ML lifecycle from development to deployment. You will collaborate with the Data Management and Analytics team to enable data-driven solutions and tools.

The role emphasizes hands-on learning, code reviews, testing, and agile teamwork, with a flexible, primarily remote work setup. Applicants should be pursuing a relevant degree and have strong programming fundamentals.