Research Scientist Intern (PhD)
Core
Researching and scaling foundation models for tabular data, including transformer architectures, multimodal models, and specialized architectures for time series and anomaly detection.
Role type
Research Scientist Intern (PhD)
Builds
Tabular foundation models (TabPFN) for production deployment in demanding industries.
Domain
Artificial Intelligence / Machine Learning / Tabular Data
Deliverable
production ML models
Required skills
PyTorch, scikit-learn, Python, tabular data processing, time series analysis, top-tier research publications
Preferred skills
Open-source contributions, experience with large-scale model scaling
Technologies
PyTorch, scikit-learn
Responsibilities
Scaling transformer architectures from 10K to 1M+ samples, building multimodal models combining text and tabular understanding, developing specialized architectures for time series and forecasting, creating efficient inference methods for production, researching causal understanding in foundation models, designing approaches for handling multiple related tables
Seniority
Intern (PhD level)