You have significant experience designing and building production-grade machine learning systems at scale You have deep experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, or similar You have experience with-or a strong interest in-multimodal machine learning across areas such as text, audio, image, or video You have built systems where machine learning outputs inform or automate real-world decisions You understand how to balance automation with quality, safety, reliability, and user experience You're comfortable tackling complex and ambiguous technical problems with significant product and business impact You think in systems, connecting models, data, infrastructure, and decisioning to platform-level outcomes and user experiences You care deeply about data quality, rigorous evaluation, fairness, explainability, and system reliability You're an experienced technical leader who communicates clearly, mentors others, and can influence across technical and non-technical teams. As the scale and diversity of content continue to grow-driven by advances in AI, new creation tools, and emerging content formats-we're investing in intelligent systems that can understand, evaluate, manage, and route content reliably at global scale.