Full Stack Engineer, ML Platform

About the role

Build the ML Platform that powers tabular foundation models. You'll work on the product end-to-end: frontend, backend, and everything in between, putting tabular foundation models into users' hands from data upload through inference and results.

What you'll do

• Build the core platform that puts tabular foundation models into users' hands — from data upload and exploration through inference and results
• Architect reliable, low-latency backend services that handle real-time model inference at scale
• Work directly with the research team to turn new model capabilities into production features
• Own the frontend experience for technical users (data scientists, ML engineers) who have high expectations and low tolerance for friction

What you'll need

• 3+ years building highly-available, user-facing products across the full stack, with real ownership of what shipped
• Experience building data-intensive applications (dashboards, analytics tools, data exploration interfaces, or similar)
• Strong JavaScript/TypeScript and Python — you're genuinely good at both, not just passable in one
• Good product instincts — you think about what the user actually needs, not just what the ticket says
• Comfort working close to ML systems, even if you're not training models yourself — you understand model inputs, outputs, and failure modes well enough to build reliable interfaces around them
• Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most

Nice to have

• Cloud infrastructure experience (GCP preferred)
• Background building developer tools, data platforms, or ML-adjacent products
• Experience with React, FastAPI, and Postgres