Remote Senior/Staff/Principal AI/ML Engineer - Threat Detection Engineering

Description:

• Design, build, and operationalize detection algorithms, ML inference pipelines, and risk aggregation systems for an autonomous threat detection platform.
• Work at the intersection of identity security, behavioral analytics, and applied machine learning to analyze ZTNA audit logs in near real-time.

Requirements:

• 7+ years of production AI/ML engineering experience, preferably in threat detection or identity security platforms.
• Expertise in designing detection algorithms for identity-based threats and experience with AI-powered security systems using large language models and deep learning.
• Real-time pipeline experience (Kafka, Flink, Spark Streaming) and familiarity with lakehouse formats (Apache Iceberg, Parquet).
• Knowledge of MITRE ATT&CK, identity threat kill chains, and audit log analysis.
• Bonus: Experience with detection-as-code frameworks, ZTNA platforms, or relevant publications.

Benefits:

• Opportunity to build AI systems that detect, prevent, and auto-remediate threats across networks and users.
• Work in a mission-driven environment focused on protecting real systems.