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Research Scientist, Foundation Model

Germany; United States, Freiburg · Job Posted February 21, 2026
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Job Description

You'll be among the first scientists developing 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: Work on fundamental breakthroughs in AI, not just incremental improvements; Shape the future of how organizations worldwide work with their most valuable data; Join at the perfect time: We just received significant funding, have strong early traction, and are scaling rapidly

Job Responsibility

  • Work on fundamental breakthroughs in AI
  • Shape the future of how organizations worldwide work with their most valuable data
  • Scaling our transformer architectures from 10K to 1M+ samples while maintaining performance
  • Building multimodal models that combine text and tabular understanding
  • 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

Requirements

  • PhD in Computer Science, Applied Mathematics, Statistics, Electrical Engineering, or a related field
  • 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

What we offer

  • Competitive compensation package with meaningful equity
  • 30 days of paid vacation + public holidays
  • Comprehensive benefits including healthcare, transportation, and fitness
  • Work with state-of-the-art ML architecture, substantial compute resources and with a world-class team

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