Develop, apply, and advance machine learning solutions for personalization use cases, translating business and customer problems into scalable scientific approaches and production‑ready models.
Design experiments, evaluate model performance, and use data‑driven methods to improve relevance, ranking, recommendation, and overall customer experience across personalization systems.
Partner across engineering, product, analytics, and science teams to define solution approaches, influence technical direction, and deliver ML capabilities that can operate across multiple products and domains.
Contribute technical depth in model development, feature design, data preparation, offline and online evaluation, and the operationalization of machine learning solutions in production environments.
Apply strong technical judgment to system design, API design, data modeling, and low‑level solution design that support robust, maintain...