🛠 Tech Stack

💼 About This Role

You'll work on scaling transformer architectures for tabular foundation models and build multimodal AI systems that combine text and table understanding. Your research will directly impact areas like clinical trials and industrial failure prediction.

🎯 What You'll Do

• Scale transformer architectures from 10K to 1M+ samples
• Build multimodal models combining text and tabular data
• Develop specialized architectures for time series and anomaly detection
• Create efficient inference methods for production deployment

📋 Requirements

• Pursuing/holding a PhD in CS, Applied Math, Statistics, or related field
• Deep experience with PyTorch and scikit-learn
• Strong Python engineering fundamentals
• Publications at NeurIPS, ICML, or ICLR

✨ Nice to Have

• Experience with tabular data or time series
• Exceptional Master's students considered
• Significant open-source contributions

🎁 Benefits & Perks

• 🏖️ 30 days paid vacation + public holidays
• 🏥 Comprehensive healthcare, transportation, and fitness benefits
• 📈 Meaningful equity and competitive compensation
• 🎿 Annual company offsites (e.g., trip to the Alps)
• 🤝 Strong mentorship and professional development