• Set the vision and strategy for applying ML to Trust & Safety, ensuring scalable, proactive protection against evolving abuse patterns. • Lead and grow a high-performing Safety ML organization, including applied research, model development, productionization, and continuous improvement. • Develop and deploy cutting-edge Safety ML systems (including fine-tuned LLMs and transformer models) that outperform state-of-the-art solutions in quality, latency, and efficiency. • Partner with Trust & Safety, Product, Moderation, and AI/ML Platform teams to identify safety risks, emerging harm vectors, and ML opportunities that improve detection, enforcement, and user experience. • Drive successful experimentation, evaluation, and model lifecycle management, ensuring high precision, recall, explainability, and policy alignment. • Champion ethical and responsible AI practices in all Safety ML solutions. • Track performance through metrics, research-based iteration, and alignment with Reddit’s safety policies and regulatory standards. • Represent Safety ML leadership internally and externally — including conferences, publications, industry groups, and cross-company collaboration initiatives.