Work with Replit’s engineering and business teams to solve quantitative problems in AI-native software creation and improve the platform for developers.
Scaling existing workAI / ML“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.”
Product areasAI-powered software creation · Agent reasoning · Systems optimization · Model learning and performance · Platform infrastructure
GoalsImprove AI models’ learning and performance at scale · Advance AI-powered software creation · Build infrastructure that powers Replit’s platform
MarketsDevelopers globally