Research Scientist, Foundation Model
Prior LabsTabular Foundation company
Freiburg, GermanySenior
Balderton Capital
Atlantic Labs
XTX Ventures
Hector Foundation
Galion.exe
Data & AI
About the role
TL;DR
Develop and scale tabular foundation models for structured data.
- •Tabular data breaks the assumptions that make scaling work for language and vision.
- •There's no natural sequence, no spatial structure, no shared vocabulary across datasets.
- •The architectures and scaling laws that power LLMs don't transfer.
- •We've made the first breakthrough with TabPFN
- •but the hardest problems are still ahead.
- •Key Responsibilities Develop and refine tabular foundation models.
- •Scale models to handle millions of rows and thousands of features.
- •Collaborate with a team of experts to advance the state of the art in tabular machine learning.
- •Contribute to research and development of new data modalities.
- •Ensure models are production-ready for demanding industries.
- •Requirements Strong background in machine learning and tabular data.
- •Experience with large-scale model training and deployment.
- •Excellent problem-solving and analytical skills.
- •Ability to work in a fast-paced, high-impact environment.
- •Strong communication and collaboration skills.
Required skills
Python
Domain expertise
ai
Tech stack
Python
