Applied Scientist, Data Science at Prior Labs GmbH

Jack & Jill; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Prior Labs GmbH in New York seeks an Applied Scientist, Data Science to push the boundaries of tabular foundation models. You will experiment with new model architectures, collaborate with customers to solve high-stakes problems traditional ML can't touch, and help demonstrate practical value of advanced AI.

You will engage with a world-class team and contribute to workshops, tutorials, and content that define the emerging paradigm of structured data AI.

Qualifications

• PhD or Master’s in a quantitative field with 3+ years deploying deep learning models in PyTorch.
• Deep understanding of transformer architectures and modern data science ecosystems.
• Proven ability to collaborate on GitHub and communicate complex results clearly.

Responsibilities

• Conduct applied ML experimentation to build proof-of-concept demonstrations of tabular foundation model advantages over traditional ML methods.
• Partner directly with enterprise customers to translate technical model capabilities into business value through demos and onboarding.
• Design workshops, tutorials, and community content that shape the emerging paradigm of tabular foundation models.

Skills

Deep learning

PyTorch

Transformers

GitHub collaboration

Communication skills

Education

PhD or Master’s in quantitative field

Job description

Job Title

Applied Scientist, Data Science

Salary

Not Disclosed

Company Description

Prior Labs GmbH is an independent frontier AI lab within SAP, backed by over ‑1 billion, pioneering tabular foundation models based on their Nature-published TabPFN research.

Job Description

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.

Location

New York, USA

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.

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.

The ideal candidate

• 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.