Full Stack Engineer, ML Platform

Prior Labs is building tabular foundation models that understand structured data, powering everything from clinical trials to financial models. This role involves building the ML Platform end-to-end: frontend, backend, and infrastructure for real-time model inference at scale.

• 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

• 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
• Good product instincts
• Comfort working close to ML systems
• Enthusiasm for working in a fast-moving, ambiguous environment
• Cloud infrastructure experience (GCP preferred) (bonus)
• Background building developer tools, data platforms, or ML-adjacent products (bonus)
• Experience with React, FastAPI, and Postgres (bonus)

• Work closely with world-class researchers and builders
• Opportunity to solve one of the hardest problems in AI