Prior Labs
Locations: Berlin / Freiburg / NYC (ONSITE)
Type: Full-time
Website: priorlabs.ai
About Prior Labs
Deep learning transformed text and images but mostly skipped tables, even though they're behind most clinical trials, financial models, and scientific experiments. The reason is structural: no natural sequence, no spatial structure, no shared vocabulary across datasets, so the architectures and scaling laws behind LLMs don't transfer.
We're building the foundation-model approach for tabular data. We started with TabPFN. v2 was published in Nature and set a new state of the art on tabular benchmarks; since release we've scaled capabilities ~20x and crossed 3M+ downloads and 7.5k+ GitHub stars. The hard problems are still open: scaling to millions of rows, low-latency inference, new data modalities, and the infrastructure to run all of it in production.
Open Roles
- Senior ML Infrastructure Engineer
- ML Engineer, Cloud Platform
- Full Stack Engineer, ML Platform
- Research Scientist, Foundation Model
- Applied Scientist
- Forward Deployed ML Engineer
- Developer Relations Engineer
- AE
Team & Compensation
- Team: 35-person team with backgrounds from Google, G-Research, Jane Street, Goldman, and CERN.
- Leadership: Led by Frank Hutter, advised by Bernhard Schölkopf and Yann LeCun.
- Compensation: Competitive with top AI labs.
How to Apply
View all open roles and apply here: priorlabs.ai/careers#open-positions