Job Description
Posit creates great software that helps people understand data and make better decisions in real-world applications. Our core offering is an open-source data science toolchain, and we aim to make it available to everyone, regardless of their economic means. We also develop enterprise products that help organizations put data science into production — including Posit Connect, a platform that makes it easy to deploy and share apps, APIs, reports, and notebooks securely at scale.
This summer we are hiring **four paid technical interns** to contribute to projects across our engineering and open-source teams. All four interns will start and end on the same dates, participate in shared programming, and have the opportunity to present their work to the broader organization.
- #### **Program Details**
- **Duration:** 10 weeks, May 26 to July 31, 2026, with the option to extend up to an additional 2 weeks if the intern is available and meaningful work remains
- **Location:** Posit is a geographically distributed team — you can be based anywhere in the United States
- **Compensation:** $30/hour assuming 40 hours per week
- **Eligibility:** Applicants must be residents of the United States and legally authorized to work in the US
#### **What to Expect**
- In addition to your project work, all interns will:
- Participate in team meetings and meet regularly with their manager
- Be part of a shared intern cohort with regular check-ins
- Have the opportunity to write a blog post about their experience
- Present their work to a large audience of Posit’s open-source and professional engineering teams in person and via blog posts
Interns are expected to be available for at least 8 of the 10-12 weeks of the program. Please plan accordingly when applying.
#### **A Bit About You**
All four internships are technical roles. Across positions, we’re looking for candidates who have strong coding skills in R or Python with a demonstrated focus on data-related work, and who are comfortable with Git and GitHub. An existing valid GitHub account is required to apply.
Your application must include links to one or more of the following: a package, a dashboard or web application, a data analysis repository, or other relevant software. We want to see what you’ve built.
- #### **Open Positions**
- **Skills & 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 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: 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 & 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 in 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 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 a
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