• Serve as the team’s technical lead and mentor, guiding ICs through design, experimentation, and implementation while raising the technical bar. • Define and drive the Safety ML team’s technical strategy and roadmap. • Set the bar in technical reviews, including code, design, and architecture, ensuring the team builds scalable, robust, and high-quality ML systems. • Collaborate cross-functionally with product, data science, policy, legal, and engineering partners to align on safety goals and deliver effective solutions. • Tackle the most complex and high-impact challenges in safety, including adversarial abuse, harmful content detection, and evolving threat vectors. • Develop cutting-edge safety techniques, applying state-of-the-art ML to detect and prevent harm while staying ahead of emerging abuse patterns • Influence the company’s direction on safety, clearly communicating trade-offs and technical constraints to senior leadership and stakeholders.