Staff Security ML Researcher

Responsibilities

• Design, develop, and deploy machine learning models for anomaly detection, threat detection, behavioral profiling, and security-risk prediction.
• Apply statistical techniques and predictive modeling to evaluate breach likelihood, attack exposure, and segmentation effectiveness.
• Analyze large-scale security datasets to identify attacker behavior, emerging threats, and MITRE ATT&CK-aligned patterns.
• Develop threat-scoring and risk-assessment models to prioritize remediation and security investments.
• Use graph-based analysis to model attack paths, quantify lateral-movement risk, and recommend mitigations.
• Design and maintain scalable data pipelines for model training, validation, and analytics.
• Partner with engineers to productionize models and analytics systems with scalability, reliability, and observability.
• Conduct experiments and hypothesis-driven analysis to improve detection quality and reduce false positives.
• Collaborate with product managers, designers, engineers, and threat researchers to embed ML-driven security insights into customer-facing products.
• Research graph analytics, graph neural networks, probabilistic modeling, and AI-driven threat detection.
• Contribute to patents, technical publications, conference presentations, and thought leadership.

Requirements

• 5+ years of experience in security analytics, threat research, detection engineering, data science, or machine learning.
• Strong Python programming skills and experience with data science and machine learning frameworks.
• Experience designing, training, validating, and deploying ML or statistical models in production.
• Experience working with large-scale security, networking, cloud, or infrastructure telemetry.
• Strong understanding of model evaluation, feature engineering, experimentation, and imbalanced datasets.
• Experience applying ML or analytics to cybersecurity problems such as anomaly detection, behavioral analysis, threat hunting, or risk assessment.
• Familiarity with MITRE ATT&CK and common security telemetry sources.
• Strong SQL and data-querying skills.
• Excellent communication skills, including translating technical findings into product and business recommendations.

Nice to Have

• 7–10+ years of experience spanning cybersecurity, machine learning, data science, or threat research.
• Experience with graph-based security analytics, Neo4j, graph databases, or graph algorithms.
• Knowledge of graph machine learning, graph neural networks, or link prediction.
• Experience productionizing ML models in cloud environments using AWS, Kubernetes, or similar platforms.
• Experience developing risk-scoring systems, recommendation engines, or predictive analytics solutions.
• MS or PhD in Computer Science, Data Science, Machine Learning, Cybersecurity, Statistics, or a related field.
• Cybersecurity-company experience in cloud security, network security, endpoint security, or threat intelligence.
• Experience integrating threat-intelligence feeds and enrichment data into ML workflows.
• Publications, patents, open-source contributions, or conference presentations related to security or applied ML.
• CISSP, GIAC, or advanced machine-learning credentials.