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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.

About the Role

Join Replit's key teams across the company, such as AI Research, Strategic Finance, or the Office of the CEO, for a unique paid internship built for sharp quantitative and creative minds. You will work alongside our top executives, in addition to world-class engineers, designers, and finance team on some of the hardest problems in AI-native software creation and accelerating key areas of our business.

We are creating a dedicated track for students with strong mathematical backgrounds because the problems we are solving sit at the intersection of deep math and applied AI, including agent reasoning, systems optimization, and improving how our models learn and perform at scale. Your work will directly shape how millions of users build software.

You Will:

Contribute to real engineering problems that push the boundaries of AI-powered software creation

Collaborate with engineers, designers, and product managers on infrastructure that powers Replit's platform

Prototype novel approaches to problems in AI, systems, or tooling where mathematical rigor is the differentiator

Ship work that impacts millions of developers globally, in an environment where your ideas are heard and often implemented

Required Skills and Experience:

Currently pursuing a Bachelor's, Master's, or PhD in Mathematics, Computer Science, Computer Engineering, Statistics, Physics, or a related quantitative field

At least one semester of schooling remaining after the internship

Demonstrated excellence in competitive mathematics such as IMO and IOI, quantitative research, or advanced coursework

Genuine curiosity about AI, agent systems, company building, or developer tooling

Extremely bullish on Replit and the future of AI-native software creation. We would love to see what you have built on the platform

What We Value:

First-principles thinking: Ability to break down complex problems from the ground up and reason about them rigorously

Mathematical intuition: Strong grasp of the underlying math behind machine learning, optimization, or systems

Self-directed and autonomous: Capable of working independently while collaborating well with cross-functional teams

Strong communication: Ability to explain complex quantitative concepts to both technical and non-technical audiences

Curiosity and speed: Genuine excitement for hard problems and the drive to iterate quickly

Full-Time Employee Benefits Include:

💰 Competitive Salary & Equity

💹 401(k) Program with a 4% match ( US Only )