About the role#
As a Software Design Engineer Intern, you will join the Documentation and Engineering teams to improve our developer-facing platform. You will build tools that reduce manual tasks, such as pull request checks and content validation pipelines. This role is a full-time, 6-month program where you will be embedded in a team, receive dedicated mentorship, and deliver engineering output.
What you'll do#
- Develop GitHub Actions and pull request checks to streamline reviews and run automated linters.
- Create automated tests to run documentation code examples and notebooks in CI.
- Build tools and scripts to generate, convert, or publish documentation artifacts, including Markdown/MDX pipelines and changelogs.
- Explore LLMs and agentic scripts to maintain site health, such as flagging stale screenshots or improving documentation retrieval.
- Collaborate with your mentor and documentation engineers, communicate progress in weekly syncs, and present your work at an end-of-internship Showcase.
What you'll need#
- A recent degree or completion of a Bachelor's or Master's in Computer Science, Software Engineering, Data Science, or related field.
- Foundational programming skills in Python with comfort in scripting or data parsing.
- Familiarity with Git and GitHub workflows like branching, pull requests, and code reviews.
- Basic exposure to or interest in CI/CD concepts, such as GitHub Actions, and web formats like Markdown, HTML/CSS, or JavaScript/TypeScript.
- Curiosity regarding LLM APIs and their application for developer productivity.
- Strong written communication skills and an organized, problem-solving mindset.
- Experience with GitHub Actions, static site generators (Docusaurus, MkDocs, Next.js, or MDX), automated testing, or personal projects using LLM APIs is preferred.
Location & details#
- This is a fully remote position based in Ontario, Canada.
- The role is full-time and paid.
- The internship program runs for approximately 6 months on a rolling basis.
About DataRobot
DataRobot provides an agent workforce platform for enterprise AI development. The company offers tools for model development, MLOps, and governance. It supports AI experimentation and deployment across various cloud environments. Founded in 2012, the firm is based in Boston and employs roughly 880 people.
How to get in at DataRobot
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