Design, train, evaluate, optimize, and deploy production ML models including recommendation, ranking, personalization, and adaptive decision systems. Apply reinforcement learning, contextual bandits, offline policy evaluation, causal inference, and experimentation to improve creator-facing products. Build scalable training, evaluation, deployment, and inference pipelines; work with logged interaction data; collaborate with Product, Engineering, and Analytics to translate customer problems into production ML solutions.

Own execution, optimization, and reporting for YouTube advertising campaigns. Launch, QA, monitor, and troubleshoot delivery and targeting. Analyze performance, provide actionable recommendations, and build client-facing reports. Partner with Sales and Account Management throughout campaign lifecycle, support proposals, inventory recommendations, and contribute to case studies and campaign recaps.