Research Scientist Intern (PhD)

• Scaling our transformer architectures from 10K to 1M+ samples while maintaining performance
• Building multimodal models that combine text and tabular understanding on proprietary data
• Developing specialized architectures for time series, forecasting, and anomaly detection
• Creating efficient inference methods for production deployment
• Researching causal understanding in foundation models
• Designing novel approaches for handling multiple related tables

What we're looking for

• Currently pursuing or holding a PhD in Computer Science, Applied Mathematics, Statistics, Electrical Engineering, or a related field (we will also consider exceptional Master's students)
• Deep experience with ML frameworks, especially PyTorch and scikit-learn
• Strong engineering fundamentals with excellent Python expertise
• Experience in data science and working with tabular data or time series
• Publications at top-tier venues (NeurIPS, ICML, ICLR) or significant open-source contributions

Benefits

• Strong mentorship and professional development opportunities
• Work with state-of-the-art ML architectures, substantial compute resources, and a world-class team
• Comprehensive benefits including healthcare, transportation, and fitness

Life at Prior Labs

You'll work alongside researchers and builders who hold themselves to a very high bar - in the quality of their work and in how they work with each other. We move fast and still take the time to do things right.

Our teams are based in Berlin, Freiburg, and New York - when you're working on something as hard as TabPFN, being in the same room matters. But great people come from everywhere, and in exceptional cases we're open to remote, which usually means frequent travel to one of our offices. Wherever you're based, the whole company comes together regularly for offsites to build and celebrate together.

Our Commitments

The best products and teams are built by people with a wide range of perspectives and backgrounds. We welcome applications from all identities and walks of life - especially if you've ever felt discouraged by "not checking every box" - and provide equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are.

We care about how your data is handled - see our Recruiting Data Privacy page

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The Next Web · 25 days ago

Posted Nov 01, 2026