What You'll Do

Design and build scalable risk data infrastructure and detection engine with low-latency capability Design and build platform solutions for human review process, evidence collection, reporting, and more Develop rules and ML models to detect policy violations and identify bad actors Define success metrics, design and conduct A/B testing to measure product impact Partner with Product, Policy, Legal, Operations, and Communications to deploy punitive/corrective/friction solutions Lead the technical direction to scale our detection, review and enforcement ahead of business growth If you don't think you meet all of the criteria but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.

Desired Skills

Bachelor's degree in Computer Science or related technical field 4+ years of experience in adversarial domains like abuse/fraud/spam prevention, anomaly detection, risk management, trust and safety Proven record of leading engineering design, implementation, and deployment Experience with service-oriented architecture, big-data stack, experimentation framework Experience with one or more ML frameworks: TFX, PyTorch, Scikit-learn, or equivalent Growth-minded, data, and impact-driven (Nice to have) Web3 ecosystem experience