Cohort 0

Replit is hiring a Cohort 0 for a remote role open to applicants in United States. Level rates it ; you can apply on Replit.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting lists this role as remote.
Tools and skills the posting cites include AI research, mathematics and machine learning.
Level classifies it as an internship.
Level lists 51 other open roles at Replit.

AI in this role

Contribute to AI research, agent reasoning, and systems optimization as an intern at Replit.

ai-researchmathematicsmachine-learningsystems-optimizationagent-reasoningsoftware-development

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)

⚕️ Health, Dental, Vision and Life Insurance

🩼 Short Term and Long Term Disability

🚼 Paid Parental, Medical, Caregiver Leave

🏝 Flexible Time Off (FTO) + Holidays

🚗 Commuter Benefits (In-Office & US Only)

📱 Monthly Wellness Stipend

🧑‍💻 Autonomous Work Environment

🖥 In Office Set-Up Reimbursement (In-Office Only)

🚀 Quarterly Team Gatherings

☕ In Office Amenities (In-Office Only)

Want to learn more about what we are up to?

Interviewing + Culture at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

How we rate this

Cohort 0 at Replit rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Cohort 0 is an open job at Replit.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Foster City, CA and is marked remote.
The job was posted on September 5, 2026.
Seniority: intern.
Applications are handled by Replit. Apply on Replit

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchMathematicsMachine learningSystems OptimizationAgent ReasoningSoftware Development

Questions you could be asked

Tell me about a research question you investigated. What did you find?
Tell me about a project where mathematics was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where systems optimization was part of your work. What did you do?
Tell me about a project where agent reasoning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Research, Mathematics, Machine learning, Systems Optimization, and Agent Reasoning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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