Engineering Internship – AI Native Projects

Job Description

Software Engineer Intern (Fall 2026) | mmmanyfold dev studio

The Tone:
This is an internship at mmmanyfold dev studio, located in San Francisco, CA. The company is dedicated to building Notion, a collaborative AI workspace where teams and agents think together, aiming to make work faster, clearer, and less fragmented by consolidating knowledge, projects, meetings, and AI tools. This role is crucial as you will be part of the first engineering internship class, tasked with forging a performant and reliable path for Notion’s future, ensuring a fast, reliable, and secure experience for millions of users while enhancing the platform with valuable AI-native tools.

The TL;DR
• Role: Internship
• Type: Seasonal
• Location: In-person, San Francisco, CA
• Pay: $57–$61 hourly
• Mission: To help forge a performant and reliable path for Notion’s future by building and shipping AI Native projects that drive valuable impact for customers and engineers.
• Tech Stack: Typescript, Node.js, Python, React

What You’ll Actually Do
• Build: Build and ship AI Native projects that drive valuable impact for both customers and engineers within the Notion platform.
• Design: Design and enhance the Notion product with new capabilities, consistently applying an AI-first mindset to solutions.
• Code: Write clean, secure, tested, and documented code across the full stack, ensuring high quality and maintainability.
• Develop: Develop, fix, and debug software for various components including web services, databases, applications, and internal tools, leveraging modern frameworks and tooling.

The Must-Haves
• Background: Pursuing a bachelor’s or master’s degree in computer science, engineering, or a related field. Must graduate before Summer 2027.
• Experience: Previous internship experience. The internship period is September 14 – December 4, requiring in-office work in SF.
• Skills:
• Working towards proficiency in one or more programming languages such as Typescript, Node.js, or Python.
• Enthusiasm for AI, demonstrated by building or prototyping features with AI technologies like LLMs, Embeddings, or Machine Learning.
• Thoughtful problem-solving, including the ability to clearly understand context, decompose tricky problems, and work towards clean solutions.
• Empathetic communication, articulating nuanced ideas clearly in writing or brainstorming, and engaging thoughtfully with other perspectives.
• Adaptability and a non-ideological approach to technology, understanding tradeoffs and being able to learn new technologies.
• Bonus:
• Expertise with specific technologies that are part of the stack, including Typescript, React, or Python.
• Familiarity with computing pioneers such as Ada Lovelace, Douglas Engelbart, and Alan Kay.
• Interests outside of technology, such as in art, history, or social sciences.