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Replit

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Foster City, CAHybrid · United States
Intern · Engineering
POSTED 5 SEPTVERIFIED 8H AGO
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Role
66 days opentrue age
Posted 5 Sept
Pay
$198k–$240kno pay posted
$161k$240k
Market p25–p75
$161k–$239k
Replit p25–p75
$198k–$240kn=5
H-1B median · Software engineering
$203k
SF Bay Area · n=1752 · 365d to 6 Nov
CompanyReplit →
28open roles
Opened · 30d
+0
Closed · 30d
−6
7d of snapshots · 30d window
Market
37,617open · Software engineering
Opened · 7d
+2,1146% of open
All software engineering
75,141open
All tracked boards · live 10 Nov · n=37,617
Visa
26H-1B LCAs · FY26
Median wage
$207k
LCAs FY26 · n=26 · to 2026-06-26

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?

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Operating Principles

Reasons not to work 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.

Source · ReplitFirst seen 3 NovOriginal ↗