Staff Security ML Researcher

Join Illumio, a leader in cybersecurity, as a Staff Security ML Researcher. In this role, you will develop machine learning-driven approaches for threat detection, risk assessment, and security analytics. You will work at the intersection of cybersecurity, machine learning, and product innovation, partnering with threat researchers, engineers, and product teams to transform large-scale security data into intelligent models and actionable insights. You will design, develop, and deploy machine learning models, analyze large-scale security datasets, and collaborate with various teams to embed ML-driven security insights into customer-facing experiences.

• Design, develop, and deploy machine learning models that identify anomalous behavior, detect threats, and predict security risk across complex enterprise environments.
• Analyze large-scale security datasets to identify attacker behaviors, emerging threats, and patterns aligned to frameworks such as MITRE ATT&CK.
• Collaborate with product managers, designers, and engineers to embed ML-driven security insights into customer-facing experiences.

• Familiarity with security frameworks such as MITRE ATT&CK and common security telemetry sources
• Experience designing, training, validating, and deploying machine learning or statistical models in production environments
• Strong understanding of model evaluation, feature engineering, experimentation, and handling imbalanced datasets
• 5+ years of experience in security analytics, threat research, detection engineering or data science, machine learning
• Strong SQL and data querying skills
• Experience applying analytics or machine learning techniques to cybersecurity problems such as anomaly detection, behavioral analysis, threat hunting, or risk assessment
• Excellent communication skills with experience translating technical findings into actionable business and product recommendations
• Proven ability to work with large-scale telemetry datasets from security, networking, cloud, or infrastructure environments
• Strong Python programming skills, including experience with data science and machine learning frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch
• Industry certifications such as CISSP, GIAC, or advanced machine learning credentials
• MS or PhD in Computer Science, Data Science, Machine Learning, Cybersecurity, Statistics, or a related field
• Background at a cybersecurity company focused on cloud security, network security, endpoint security, or threat intelligence
• Experience productionizing ML models in cloud environments using AWS, Kubernetes, or similar platforms
• Experience developing risk-scoring systems, recommendation engines, or predictive analytics solutions
• Experience integrating external threat intelligence feeds and enrichment data into ML workflows
• Knowledge of graph machine learning techniques, including graph neural networks or link prediction methods
• Experience building graph-based security analytics using Neo4j, graph databases, or graph algorithms
• Publications, patents, open-source contributions, or conference presentations related to security or applied machine learning
• 7-10+ years of experience spanning cybersecurity, machine learning, data science, or threat research