Teams at Holonomy

Conduct research advancing self-improving AI, agentic intelligence, autonomous execution, long-horizon reasoning, learning from experience, model architectures, training, and evaluation. Develop novel algorithms, research prototypes, and experimental systems, collaborating with engineers and researchers to turn frontier research into robust, scalable AI systems.

Design, build, and optimize machine learning systems for self-improving AI, autonomous execution, and advanced reasoning. Develop scalable training and inference pipelines, train and evaluate models, perform post-training and performance optimization, and build infrastructure for machine learning workflows. Collaborate with research scientists and engineers to translate frontier AI research into robust, production-ready systems across the full machine learning lifecycle.