Principal Security ML Research Engineer
Core
Designing advanced AI and machine learning solutions to enhance threat detection, response capabilities, and security analytics for real-world cyber threats.
Role type
Principal Security ML Research Engineer (Threat Research & Detection)
Builds
Advanced AI agent workflows, ML detection models for behavioral anomalies, threat actor profiling techniques, and robust evaluation frameworks.
Domain
Cybersecurity, Threat Intelligence, Machine Learning, Security Telemetry
Deliverable
production ML models
Required skills
Vector search, Retrieval-Augmented Generation (RAG), deep learning, clustering, graph algorithms, behavioral anomaly detection, threat actor profiling, ML evaluation frameworks, benchmarking pipelines, LLM API integration, adversarial attack testing
Preferred skills
Published research in security/ML journals, conference presentations, industry-leading scalable model development
Technologies
scikit-learn, xgboost, PyTorch, TensorFlow
Responsibilities
Design innovative ML architectures for threat detection; prototype AI agent workflows for incident investigation; develop models to detect behavioral anomalies and profile threat actors; build evaluation frameworks and benchmarking pipelines; mentor senior engineers on ML best practices; produce technical blogs, white papers, and present at industry conferences.
Seniority
Principal, hands-on IC with mentorship responsibilities
