• contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development • lead collaborations and align across Personalization to integrate and A/B test mid-term signals in various recommendation systems • promote and role-model best practices of ML systems development, testing, evaluation, etc.