Full description

Applied AI (AAI) is Meta’s organization focused on making our AI models best-in-class, starting with coding. Within AAI, the Multimedia & MultiModality team covers the multimedia domain across every modality, on both the input and the output side of a model: image, video, audio, speech and music. We work directly with research, model-training and engineering partners across MSL, TBD and FAIR. 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.

About the role
We are hiring a senior engineer to lead this work end to end. You will take a modality or a capability area, decide what data is worth producing and how it should be measured, and carry it from an open question through to a pipeline that runs and a measurement the org relies on.

This is a multimodal role, not a text-only role. You will work across image, video, audio and speech, as model inputs and as model outputs, and the data and evaluations you own will cover media, not text alone.You will choose where the pod invests, own outcomes beyond your individual contribution, set standards other engineers build against, and raise quality without becoming the review bottleneck.