We're looking for a Content Engineer to join our AI Discovery team and help define how Meta evaluates and improves AI content experiences. You'll work at the intersection of content quality, AI evaluation, and the search and recommendation systems that power Meta's products.
Requirements
- Define content quality standards and use them to systematically evaluate how AI models are performing across our products and content experiences
- Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments
- Build repeatable workflows for collecting, annotating, and analyzing AI outputs so evaluations can run efficiently as models evolve
- Evaluate successive model releases through structured comparison, documenting what improved, what regressed, and what to prioritize next
- Design evaluation frameworks that integrate qualitative and quantitative signals to measure dimensions like user trust, content depth, and topical relevance
- Develop processes to track content quality and model performance over time and flag regressions
- Synthesize evaluation results into structured error patterns and concrete recommendations that engineering and product teams can act on
- Work cross-functionally with engineers, data scientists, product managers, and content strategists to align AI behaviors with real-world user expectations
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
