Teams at System Inc.

Design and maintain scalable data pipelines and ETL/ELT workflows; build and operate training, deployment, and model-serving infrastructure; develop feature stores and vector databases; ensure reliability, low latency, and observability; collaborate with Research/Data Science to productionize models; contribute to infrastructure-as-code and cloud documentation.

Conduct research at the intersection of graph theory, machine learning, and clinical domains to develop and validate methods for modeling complex systems, partner with engineering to productionize findings, publish results, and collaborate with clinical experts to ensure real-world impact.

Drive and scale operational, commercial, and organizational systems; work cross-functionally with engineering, product, and research to align execution; bring structure to ambiguous problems; represent the company externally; and help recruit and retain talent while promoting continuous improvement and values-driven culture.