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About the Role:
- You will own one or more defined enforcement problem areas, translating ambiguous abuse risks and written policy into measurable signals, labels, and detection approaches.
- You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, and Threat Intelligence to turn analysis into scaled mitigation.
What You'll Do:
- Discover and characterize abuse by analyzing large-scale behavioral and network data to identify adversarial patterns and gaps in mitigations.
- Define decision-quality standards with evaluation frameworks addressing precision, recall, calibration, coverage, fairness, and operational costs.
- Measure real-world impact through staged rollouts, experiments, and observational analyses, and support incident response on-call.
Who You Are:
- You have a Ph.D. with 4+ years or Master's with 8+ years of relevant experience in a quantitative field, with applied experience in adversarial domains like safety or fraud.
- You are expert in SQL and Python, with strong statistical, experimental design, and ML knowledge, and can deconstruct ambiguous problems.
- You have exceptional communication skills and can convey complex technical concepts to both technical and non-technical partners.
Benefits:
- Comprehensive healthcare benefits and income replacement programs, plus 401k with employer match.
- Global benefit programs for workspace, professional development, and caregiving support, including family planning and gender-affirming care.
- Flexible vacation, paid volunteer time off, and generous paid parental leave.
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