Staff Security ML Researcher

📋 Description

• Design, develop, and deploy machine learning models that identify anomalous behavior, detect
• Apply statistical techniques and predictive modeling to evaluate breach likelihood, attack
• Build behavioral profiling, anomaly detection, clustering, classification, and forecasting models
• Evaluate model performance, reduce false positives, and continuously improve detection quality
• Analyze large-scale security datasets to identify attacker behaviors, emerging threats, and
• Develop threat scoring and risk assessment models that help customers prioritize remediation and

🎯 Requirements

• 5+ years of experience in security analytics, threat research, detection engineering or data
• Strong Python programming skills, including experience with data science and machine learning
• Experience designing, training, validating, and deploying machine learning or statistical models in
• Proven ability to work with large-scale telemetry datasets from security, networking, cloud, or
• Strong understanding of model evaluation, feature engineering, experimentation, and handling
• Experience applying analytics or machine learning techniques to cybersecurity problems such as

🎁 Benefits

• $221K – $265K per year
• On-site work at Sunnyvale, CA HQ (4 days a week)
• Opportunity to work at the leader in Zero Trust Segmentation and breach containment
• Collaborative environment with Security, Engineering, and Product teams
• Potential for patents, technical publications, and conference presentations
• Commitment to diversity and inclusive culture