Research Scientist – Tabular & Structured Machine Learning

RESEARCH SCIENTIST – TABULAR & STRUCTURED MACHINE LEARNING THE MISSION AI today is limited not only by model design but by the inefficiency of the data that feeds it. At scale, each redundant byte, poorly organized dataset, and inefficient data path slows progress and compounds into enormous cost, latency, and energy waste. Granica’s mission is to remove that inefficiency. We combine advances in information theory, probabilistic modeling, and distributed systems to design self-optimizing data infrastructure: systems that continuously improve how information is represented, compressed, and used by AI. Granica’s research group is led by Prof. Andrea Montanari (Stanford), bridging advances in learning theory and information efficiency with large-scale distributed systems.…