• Design, build, and operate the systems that serve ML models within the messaging stack, with a focus on latency, reliability, and scalability • Write and review technical designs that solve large, open-ended problems at the intersection of ML and product engineering without clearly-known solutions • Partner with ML, data science, and product teams to identify high-value opportunities, establish evaluation criteria, and close the gap between offline model performance and production impact • Collaborate with other engineers and cross-functional partners across Messaging, Trust & Safety, Localization, and Platform organizations to align on long-term technical solutions • Mentor, guide, advocate, and support the career growth of individual contributors • Establish engineering standards for ML integration across the messaging surface, including feature flagging, A/B testing, observability, and graceful degradation