• 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 the one or more ML frameworks: TFX, PyTorch, Scikit-learn, or equivalent.
• Growth-minded, data, and impact driven.