Staff Machine Learning Engineer

Architecting and maintaining end-to-end traffic classification ML systems, the full-time Staff Machine Learning Engineer will manage the complete lifecycle of traffic-scoring models and collaborate with cross-functional teams to enhance bot-incident mitigation strategies in a remote work environment. Key responsibilities Own the lifecycle of traffic-scoring models, managing adversarial feedback loops to enhance evasion-resistance Architect offline-to-online data pipelines, establishing evaluation frameworks to ensure model improvements are measurable and defensible Collaborate with security analysts and data engineers to integrate scoring intelligence into automated workflows for global traffic classification consistency Required qualifications 9+ years of applied experience in production ML within adversarial domains such as traffic integrity or bot mitigation Demonstrated experience in architecting scalable data pipelines for low-latency inference systems Strong foundation in model evaluation metrics and the ability to communicate complex trade-offs to stakeholders Experience with large-scale data engineering and feature engineering on high-volume event streams MS/PhD in a quantitative field or equivalent deep engineering experience with ownership of large-scale systems