Join the team bridging the gap between frontier tabular foundation models and real-world industrial impact. You will experiment with new model architectures, collaborate with customers to solve high-stakes problems traditional ML can’t touch, and educate the global data science community. It is a unique opportunity to shape the future of structured data AI.
Applied Scientist, Data Science at Prior Labs GmbH
Prior Labs GmbH is revolutionizing how the world handles structured data. As an independent frontier AI lab backed by over ‑1 billion, they pioneered the Nature-featured TabPFN model. Now, they are looking for an Applied Scientist in New York to bridge the gap between breakthrough research and real-world impact. You’ll work alongside a world-class team from DeepMind and Meta, advised by Yann LeCun, to define the future of tabular AI. If you're a PyTorch expert with 3+ years of experience and a passion for transformers, this is your chance to lead a new paradigm in machine learning.
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Location
New York, United States
Compensation
Not Disclosed
Company
Prior Labs GmbH
Role overview
Prior Labs builds multimodal tabular foundation models (TFMs), starting with TabPFN, designed to understand tables natively and perform statistical reasoning directly from data. The company says its broader vision is to create agentic AI systems that can understand high-level goals, combine tables, language, and images, reason across modalities, integrate domain knowledge, infer causality, and adapt dynamically.
What you will do
- Conduct applied ML experimentation to build proof-of-concepts showcasing tabular foundation model advantages over traditional machine learning methods like XGBoost.
- Partner directly with enterprise customers to translate technical model capabilities into business value through technical demos and guided onboarding.
- Engage the global AI community by designing workshops, tutorials, and content that define the emerging paradigm of tabular foundation models.
Who this is a fit for
- Holds a PhD or Master’s in a quantitative field with 3+ years of industry experience deploying deep learning models in PyTorch.
- Possesses deep technical expertise in transformer architectures and modern data science ecosystems, with a track record of collaborative development on GitHub.
- Demonstrates exceptional communication skills, capable of translating complex technical architectures into tangible value for both technical and non-technical stakeholders.
Why this role is remarkable
- Work at an independent lab backed by a ‑1 billion commitment over four years, combining startup agility with massive enterprise resources.
- Directly contribute to the evolution of TabPFN, a breakthrough tabular foundation model featured on the cover of Nature with millions of downloads.
- Collaborate with a world-class team from Google, DeepMind, and Meta, advised by AI pioneers like Yann LeCun and Bernhard Schölkopf.
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If your profile’s a match and Prior Labs GmbH wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.