Staff AI/Machine Learning Engineer

Build production machine learning systems for synthetic environments used to train and evaluate AI agents. You’ll develop synthesis and de-identification models that preserve fidelity and downstream utility, train and improve NER/entity detection, and create evaluation infrastructure that grades agent outcomes. Work across longitudinal simulation, open-weight model fine-tuning, and scalable inference on sensitive customer data, partnering with frontier labs and enterprise ML teams while raising rigor for a small senior team.