PriorLabs is building breakthrough foundation models that understand spreadsheets and databases - the lifeblood of science and business. While foundation models have transformed text and images, tabular data has remained largely untouched. We're tackling this $100B+ opportunity with technology that could revolutionize how we approach scientific discovery, medical research, financial modeling, and business intelligence.
Our initial release TabPFN achieved state-of-the-art performance with significant traction (100K+ downloads, 1,200+ GitHub stars), and we're now building even more powerful models that combine the latest AI advances with specialized architectures for tabular data.
Led by Frank Hutter, the most cited researcher in AutoML, our team of world-class AI researchers and engineers has a track record of pioneering breakthroughs. With substantial backing from top-tier investors, we're rapidly moving toward commercialization. Want to help organizations worldwide unlock the true value of their most critical data assets? Join us in making it happen.
You'll be among the engineers developing an entirely new class of AI models. Our latest breakthrough (TabPFN) outperforms all existing approaches by orders of magnitude - and we're just getting started. This is a rare opportunity to:
As an early-stage startup working on foundation models for tabular data, we have several key areas where ML Engineers can make significant contributions. As an early team member, you'll have significant technical ownership and the opportunity to grow into a leadership position as we scale. While no single person needs to cover all these areas, these represent the types of challenges you might tackle based on your interests and expertise:
Model Engineering & Implementation
Research Infrastructure & Tooling
Production & Scale