7 days ago
Remote, WorldwideIntern
H1B Sponsor
Base Salary
$40 - $40/yr
Responsibilities
- Participate in discovery, requirements gathering, and prototyping of new 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 LlamaIndex and LlamaParse into existing workflows.
- Assist in building and deploying AI agents for data processing and analysis tasks.
- Participate in code reviews and implement or update unit and integration tests.
- Track tasks and provide status updates using internal tools.
Requirements
- Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or a related field.
- Possess solid programming skills.
- Have basic experience with source control systems such as Git.
- Familiarity with the data science lifecycle and basic machine learning concepts is preferred.
- Experience with Docker and Kubernetes, knowledge of AWS, proficiency with Python and/or Go, and familiarity with REST APIs are preferred.
- Ability to work effectively in a geographically distributed team, with strong communication and organizational skills, is preferred.
Benefits
- US salary range of $40.00-$40.00.
- 401(k) participation and match.
- Paid sick leave.
- Opportunity to continue learning through additional internship seasons.
- Primarily remote work, with optional hybrid office use near Workiva office hubs.
- Spring 2027 internships start January 4, 2027, at up to 15-20 hours per week; Summer 2027 internships start May 17, 2027, at up to 40 hours per week.
- Minimal travel and reliable internet access when working remotely.
Categories
About Workiva
Workiva Inc. (NYSE: WK) powers trust, transparency, and accountability. Finance, accounting, sustainability, risk and audit teams from more than 6,600 organizations, including over 85% of Fortune 1,000 companies rely on Workiva for their mission-critical work. We transform how customers connect data, unify processes, and empower teams in a secure, audit-ready, AI-powered collaborative platform. Learn more at workiva.com.
