Applied Scientist: Tabular AI for Real-World Impact

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

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.