Privacy-First Personalization & Continual-Learning Scientist

HushOne, Inc. seeks a researcher to design privacy‑preserving personalization systems that update user preferences without exposing other household data. You will drive experiments with held‑out evaluation, document deletion limits, and differentiate memorization from generalisation. You will also develop forgetting mechanisms, evaluate personalisation without big pooled data, and contribute to continual learning and responsible AI initiatives within a remote‑friendly, hybrid team.