• Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development. • Lead collaborations and align across PZN 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., both inside the team as well as throughout the organization.