3 days ago
Remote, Canada +3 moreIntern
H1B sponsor
Responsibilities
- Develop GitHub Actions and pull-request checks to streamline documentation reviews, run linters, and validate content changes.
- Create automated tests that execute documentation code examples and notebooks in CI.
- Build scripts and tooling to convert, generate, and publish documentation artifacts, changelogs, and release summaries.
- Explore LLMs and agentic scripts for documentation site health, including stale screenshot detection and improved indexing and retrieval.
- Collaborate with documentation engineers and a mentor, communicate progress in weekly syncs, document deliverables, and present work at the Intern Showcase.
Requirements
- Be a recent graduate or have completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field, or have equivalent practical project experience.
- Have solid foundational programming skills in Python and comfort with scripting or data parsing.
- Be familiar with Git and GitHub workflows, including branching, pull requests, and code reviews.
- Have basic exposure to or enthusiasm for CI/CD concepts and web or documentation formats such as Markdown, HTML/CSS, or JavaScript/TypeScript.
- Be curious about experimenting with LLM APIs for developer productivity and have strong written communication and problem-solving skills.
- Preferred qualifications include experience writing GitHub Actions, automating developer workflows, using static site generators or MDX, running automated tests or linting in CI, or integrating LLM APIs in personal or academic projects.
Benefits
- Fully remote work arrangement.
- Approximately six-month internship program with dedicated mentorship and an Intern Showcase.
- Medical, dental, and vision insurance, flexible time off, paid holidays, paid parental leave, and a global Employee Assistance Program, depending on location and local legal requirements.
Tech Stack
Categories
About DataRobot
DataRobot builds an end-to-end enterprise AI platform for data science and engineering teams to develop, deploy, and govern predictive and generative AI. It offers SaaS and self-managed deployments with MLOps, governance, and professional services to integrate AI into core workflows. Founded in 2012 and headquartered in Boston, the privately held company raised a Series E+ round in 2021 and serves enterprises across regulated industries worldwide.