Product Content Engineering is a horizontal function supporting initiatives across Meta. We partner closely with product and technical teams to solve problems by providing model-centered solutions, setting standards of quality, and building the frameworks that ensure AI-powered experiences actually work for people. We're looking for a Content Engineer who will partner with Meta’s agent tooling team to define model quality standards and target behaviors for Meta’s internal AI assistant - an automated tool driving employee productivity across internal systems, data, and workflows.
You'll work at the intersection of evaluation: building the frameworks, rubrics, and pipelines that hold AI outputs to a high standard. You'll assess model behavior and hardness, identify where it falls short, and work cross-functionally with engineering, product, research, and data science teams to make it better. If you're energized by building better AI experiences through rigorous evaluation, thrive in ambiguity, and bring strong editorial and analytical judgment, we encourage you to apply.
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