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 first data scientists working with 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 our Founding Data Scientists, you'll be the critical link between our breakthrough technology and real-world applications. As a super-user of our foundation models, you'll deeply understand our technology's capabilities, demonstrate compelling use cases, and help shape our product roadmap.
This role goes beyond traditional data science - it's an opportunity to grow into a leadership position while driving the future of enterprise AI. You'll have the freedom to focus on areas where you create the most value, whether that's technical innovation, product development, or business growth.
In this multifaceted role, you'll wear several hats and connect different aspects of our business. Here's how you'll drive impact across key areas:
Product Development