Full Stack Engineer, ML Platform

Meyandy LLC; Berlin; Hybrid; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Prior Labs in Berlin is seeking a Full Stack Engineer for the ML Platform to join a small, highly selective team transforming tabular foundation models into production tools. You’ll work across frontend, backend, and data pipelines, delivering end-to-end features with real-world impact.

The role emphasizes shipping quickly with high quality, collaborating with researchers and engineers, and owning the UI for data scientists, ML engineers. Familiarity with React, FastAPI, and Postgres is a plus.

Qualifikationen

• 3+ years building highly-available, user-facing products across the full stack.
• 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.

Aufgaben

• 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 for real-time model inference at scale.
• Own the frontend experience for data scientists and ML engineers, ensuring high usability and low friction.

Kenntnisse

JavaScript/TypeScript

Python

Product instincts

ML systems awareness

Team collaboration

Tools

React

FastAPI

Postgres

Cloud (GCP)

Jobbeschreibung

# Full Stack Engineer, ML PlatformPrior LabsVia arbeitnowBerlin, DEPubliée il y a 11h## Description du poste## Who we areFoundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched, until now. What LLMs did for language, we're doing for tables.We pioneered tabular foundation models: TabPFN v2 was a Nature cover story, has passed 3.5M+ downloads and 7,500+ GitHub stars, and runs in production from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi. The hardest problems - millions of rows, real-time inference, entirely new modalities - are still open, and no one else is working on them at this level.We're a small, highly selective team of 40+ with backgrounds from Google, DeepMind, Meta, Apple, Amazon, Jane Street, and CERN, led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by Bernhard Schölkopf and Turing Award winner Yann LeCun.In July 2026, less than 18 months after our €9M pre-seed, we joined SAP as an independent frontier AI lab - same team, mission, and open-weights models, now backed by more than €1 billion over four years.## About the roleWe’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)## Life at Prior LabsYou'll work alongside researchers and builders who hold themselves to a very high bar - in the quality of their work and in how they work with each other. We move fast and still take the time to do things right.Our teams...**Full Stack Engineer, ML Platform** — Prior Labs, Berlin.