Full Stack Engineer, ML Platform

Prior Labs; Brandenburg; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

A leading AI company in Brandenburg is seeking exceptional engineers to help build the ML Platform for their tabular foundation model line. In this role, you will own user-facing frontend and backend applications, work with product teams to implement new features, and optimize system performance. Ideal candidates should have over 5 years of software engineering experience, strong skills in JavaScript/TypeScript and Python, and a passion for user experience and data science. Join us to make a real-world impact.

Qualifikationen

• 5+ years of software engineering experience building highly‑available user‑facing products.
• Experience working across the stack (frontend + backend).
• Strong JavaScript/TypeScript and Python skills.

Aufgaben

• Own user‑facing frontend & backend applications end‑to‑end.
• Work with product and research to turn new model capabilities into production features.
• Build high‑trust, scalable systems.

Kenntnisse

5+ years of software engineering experience

JavaScript/TypeScript

Python

User experience passion

Experience building user-facing products

Tools

React

FastAPI

Postgres

Cloud experience (GCP preferred)

Jobbeschreibung

Who we are

Prior Labs is building foundation models that understand tabular data, the backbone of science and business. Foundation models have transformed text and images, but structured data has remained largely untouched. We’re tackling this $600B opportunity to fundamentally change how organizations work with scientific, medical, financial, and business data.

Momentum: We’re the world-leading organization in structured data ML. Our TabPFN v2 model was published in Nature and set a new state‑of‑the‑art for tabular machine learning. Since its release, we’ve scaled model capabilities more than 20x, reached 2.5M+ downloads, 5,500+ GitHub stars, and are seeing accelerating adoption across research and industry. We’re now building the next generation of tabular foundation models and actively commercializing them with global enterprises across Europe and the US.

Our team: We’re a small, highly selective team of 20+ engineers and researchers, selected from over 5,000 applicants, with backgrounds spanning Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN, led by the creators of TabPFN and advised by world‑leading AI researchers such as Bernhard Schölkopf and Turing Award winner Yann LeCun. Meet the team here.

What’s Next: Backed by top‑tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we’re scaling fast. This is the moment to join: help us shape the future of structured data AI. Read our manifesto.

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.

In this role, you will:

• Own our user‑facing frontend & backend applications end‑to‑end to build the next‑generation of data science tools
• Work with product and research to turn new model and agent capabilities into production features
• Build high‑trust, scalable systems
• Optimize for speed, reliability, and security
• Our current stack: JavaScript/TypeScript, CSS, HTML, React, Python, FastAPI, Postgres

You may be a good fit if you have:

• 5+ years of software engineering experience building highly‑available user‑facing products
• Experience working across the stack (frontend + backend) and comfort owning features end‑to‑end
• Passion for user experience, data science and machine learning
• Enthusiasm for working in a fast‑moving, ambiguous environment where new ideas ship quickly and user impact matters most
• Strong JavaScript/TypeScript
• Strong Python
• Bonus: Cloud experience (GCP preferred)