🛠 Tech Stack

💼 About This Role

You'll detect threats within Illumio's security data ecosystem, build robust ML models, and collaborate closely with product teams to shape features and strategic direction. You'll bridge data science, ML, threat research, and product development to help global organizations defend against advanced cyber threats. This role offers a unique opportunity to impact cybersecurity innovation in a high-demand field.

🎯 What You'll Do

• Analyze large-scale security datasets to identify threat patterns and attacker TTPs.
• Build and deploy ML models for anomaly detection and breach identification.
• Collaborate with product teams to integrate threat insights into roadmap and features.
• Research novel graph-based threat detection techniques like graph neural networks.

📋 Requirements

• 5+ years in data science, detection engineering, or security analytics.
• Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL.
• Experience developing ML models for security applications like anomaly detection.
• Familiarity with MITRE ATT&CK framework and security telemetry sources (EDR, NDR, cloud logs).

✨ Nice to Have

• 7-10+ years experience in high-impact security roles.
• Knowledge of graph databases (e.g., Neo4j) and graph analytics.
• Experience productionizing ML models in cloud environments (AWS, GCP, Kubernetes).

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Comprehensive health insurance
• 💰 Equity grants
• 🏢 On-site amenities
• 📚 Learning and development stipend

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical phone interview· 45-60 min
3. 3On-site interviews (4 rounds)· half day