Prior Labs | ML Infra, Research Scientist/Engineer, Backend, Full Stack
Locations: Berlin, Freiburg, NYC (ONSITE)
Type: Full-time
Source: Hacker News
About Prior Labs
We build foundation models for tabular data. Deep learning transformed text and images but mostly skipped tables, which are still the data 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.
Our approach: We pre-train a transformer on millions of synthetic datasets sampled from causal-structure priors. The whole dataset goes in as context, and predictions come out in one forward pass. No per-dataset training, no hyperparameter tuning—seconds instead of hours.
Achievements:
- TabPFN v2 was published in Nature and set a new state of the art.
- TabPFN-3 scales to 10M rows.
- 4M+ downloads, 8k+ GitHub stars.
- In production from liquid biopsy to rail maintenance.
- Code: PriorLabs/TabPFN on GitHub
Since July, we have been an independent lab inside SAP, with more than EUR 1B committed over four years. Models stay open, research stays public, with the same team and offices.
Open Roles
Most roles can be based in any of our three offices.
- Senior ML Infrastructure Engineer: Own multi-cluster GPU infra (Slurm on GCP today, multi-provider next), training performance, and the tooling layer. You will manage a multi-million dollar annual compute budget.
- Research Scientist, Foundation Model: Drive the model agenda—novel architectures, scaling from 10K to 1M+ samples, multimodal and causal directions. Requires a PhD plus top-venue publications, or equivalent experience.
- Research Engineer, Foundation Model: Drive the research agenda from the engineering side. You will design experiments, write training and eval infra, and co-author papers.
- ML Engineer, Cloud Platform: Design and scale the backend that serves and finetunes the models. Stack: Python/FastAPI, Terraform, K8s.
- Full Stack Engineer, ML Platform: Build the product end to end. Stack: TypeScript + Python, React/FastAPI/Postgres.
Also hiring: Applied Scientist, Forward Deployed ML Engineer, Research Scientist (Foundational Data Science), PhD research interns, plus GTM and ops roles.
Team & Culture
- Team: ~40 people with backgrounds from Google, DeepMind, Jane Street, Goldman, G-Research, 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 roles and submit your application here: Prior Labs Careers