We care about this because authoring tasks a model cannot solve requires knowing what expert media work actually looks like Experience building data pipelines for image, video, audio, speech or complex media formats, including versioning, lineage and provenance Experience designing AI agents, orchestration, or human-in-the-loop systems Experience working directly with researchers and translating research needs into engineering and evaluation work Understanding of Responsible AI practices and building quality controls into AI output Experience with zero-to-one work: forming a charter and standing up process while priorities are still moving Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesMeta builds technologies that help people connect, find communities, and grow businesses. Current problems include evaluating video experiences, diagnosing multimedia model behavior, producing domain-expert agent tasks, and building the data and measurement pipelines multimodal capabilities are trained and judged against.