Full Stack Engineer, ML Platform

About the role

We’re looking for exceptional engineers to help build the ML Platform that powers our tabular foundation model line. This is a unique chance to work at the intersection of data science, agents, UX, and real-world economic impact.

You'll work on the product end-to-end: frontend, backend, and everything in between.

What you'll work on

• 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

You may be a good fit if you have

• 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

Bonus

• Cloud infrastructure experience (GCP preferred)

• Background building developer tools, data platforms, or ML-adjacent products

• Experience with React, FastAPI, and Postgres (our current stack)