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.
These are three distinct talent markets with three distinct assessment bars, and you'll own all of them end-to-end.
We're scaling fast, and competing directly with the best-funded labs in the world for the same people.
Your ResponsibilitiesSource scarce ML research, infrastructure, and forward-deployed talent globally, exploring mainstream and niche talent poolsPosition Prior Labs compellingly against other foundation model labs such as OpenAI, Anthropic, DeepMind, and Mistral and against the enterprise AI companies competing for FDE talentNavigate multi-hub hiring across Freiburg, Berlin, and New York (visas, comp bands, notice periods)Screen technical depth quickly across research, engineering, and customer-facing profiles without burning researcher or founder timeRun efficient, structured intervie.