Research Scientist – Tabular & Structured Machine Learning

Granica is a company focused on improving the efficiency of data infrastructure for AI. They are seeking a Research Scientist to invent and prototype algorithms for structured and tabular data, contributing to the development of large tabular models and structured foundation models.

Responsibilities:

• Invent and prototype algorithms that advance the foundations of machine learning for structured and tabular data
• Develop new representation learning techniques and information models for large enterprise datasets
• Build adaptive learners combining statistical learning theory, probabilistic modeling, and large-scale systems optimization
• Contribute to the development of large tabular models and structured foundation models
• Design architectures integrating relational, symbolic, and neural learning components
• Research and implement methods for dataset compression, selection, and representation to improve learning efficiency
• Develop cost models and optimization frameworks for large-scale structured learning systems
• Collaborate closely with the Granica research group led by Prof. Andrea Montanari (Stanford) and with systems engineers
• Rapidly prototype new algorithms and evaluate them on real enterprise datasets
• Publish and contribute to the broader research community shaping the future of structured AI and efficient ML systems