2026 Posit Internships

  connect, internship, PyData, shiny, tidymodels

  Max Kuhn, Carson Sievert, Tomasz Kalinowski, and Andrew Holz

We are once again chuffed to offer summer internships.

Our internship program has been a great success over the years. If you want to know what it is like, many of our alumni have written about it:

Three past interns are current Posit employees: Thomas Lin Pederson, Kara Woo, and Simon Couch.

2026 Positions

This year, we have four positions in different groups. The positions are US-based and range from 10-12 weeks, starting on May 26, 2026. See the link at the bottom for the details.

Skills and Evals Intern (PyData Team)

The PyData team is looking for an intern to help make AI agents better at using our Python open-source projects by writing skills and evaluations for common user tasks.

The core of the role is to identify the tasks users perform with our tools — such as Plotnine and Great Tables — translate them into clear skill definitions that agents can use, and build evaluations that measure whether agents can reliably complete those tasks. This includes writing prompts, creating example workflows, and developing automated tests that measure how well agents perform. A major focus will be on applying the emerging skills format, while the broader goal is to improve documentation, examples, and API design across the PyData ecosystem in ways that make our tools work better with AI-assisted workflows.

R Modeling Intern (Tidymodels Team)

The tidymodels R internship is focused on different tasks, including: expand content on tidymodels.org, expanding tabular deep learning models (in brulee), additional performance metrics for survival analysis models, modernizing the caret package, and/or Rust bindings for predictive models. The intern is welcome to suggest R-based projects focused on modeling and/or data analysis.

Shiny Accessibility and Testing Intern (Shiny Team)

The Shiny team is looking for an intern to help advance accessibility and testing across the Shiny framework. You’ll audit Shiny components against Web Content Accessibility Guidelines (WCAG), implement fixes, improve test coverage, and contribute to documentation that helps the broader community build accessible Shiny apps.

Some of the harder problems in this role aren’t strictly code problems. Shiny’s components are built for flexible, abstract usage, so you can’t always anticipate how they’ll end up on a page. Making them accessible means understanding HTML semantics and WCAG well enough to exercise good judgment and make sensible compromises when there isn’t one clear right answer. Candidates should be comfortable with Git and GitHub, have solid working knowledge of HTML/CSS, and have experience in at least one of R, Python, or JavaScript. Familiarity with WCAG, assistive technology, automated testing frameworks, or open-source workflows is a plus.

Software Engineering Intern (Posit Connect Team)

The Posit Connect team is looking for an intern to contribute to the development and quality of Connect, Posit’s professional platform for publishing and sharing data science and AI applications at scale. The primary focus of the internship will be to contribute reports and applications to the Connect Gallery, an open-source collection of useful extensions and example content. These Python, R, and Quarto projects help data science teams realize the full potential of the product and allow us to experiment with new features. In the process of building these apps, you will have the opportunity to contribute to the Connect product as well.

Applying

To apply, make sure that you have a GitHub handle and follow this link:

https://posit.co/job-detail/?gh_jid=7674250003

We can’t wait to get started and look forward to reading your applications.