Principal Security ML Research Engineer

📋 Description Design ML architectures to enhance threat detection and response. Prototype AI agent workflows to streamline incident investigations. Collaborate with cross-functional teams to define specs and ensure real-world performance. Develop ML models for detecting behavioral anomalies in security telemetry. 🎯 Requirements Vector search for data retrieval and RAG techniques Deep learning, clustering, and graph algorithms PyTorch or TensorFlow; scikit-learn; XGBoost Experience integrating LLM APIs into production apps MS in CS/Cybersecurity or 5+ years in security ML Behavioral anomaly detection in security telemetry 🎁 Benefits Competitive pay based on your work Health coverage for you and family Flexible locations and schedules Generous vacation days Donation matching up to $2000 Up to 40 volunteer hours/year