Senior Threat Detection AI/ML Engineer

AppGate Cybersecurity, Inc.; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

AppGate Cybersecurity, Inc. is seeking an AI/ML Engineer (Senior/Staff/Principal) to design, build, and operationalize threat detection algorithms and ML inference pipelines.

You will surface high-fidelity signals from ZTNA audit logs and drive adaptive access decisions through Risk Sentinel integration. Responsibilities include building detection engines for identity and network threats, implementing real-time streaming pipelines, and advancing autonomous remediation and agent security.

Qualifications

• 7+ years in production AI/ML engineering.
• Experience building threat detection platforms.
• Hands-on work with identity security and UEBA.
• Production ML lifecycle with CI/CD practices.
• Familiarity with streaming systems and security analytics.

Responsibilities

• Build threat detection engine and features.
• Develop ML anomaly detection models.
• Design risk scoring and enforcement mechanisms.
• Create scalable real-time detection pipelines.
• Address autonomous AI security concerns and drift.
• Collaborate with security, product, and platform teams.

Skills

Threat detection

MLOps platforms

Real-time analytics

Kubernetes

Security analytics

Kafka

MITRE ATT&CK

LLMs security

Education

Bachelor's degree in Computer Science

Tools

SageMaker

Kubeflow

MLflow

Kubernetes

Apache Iceberg

Parquet

GitHub

Job description

AppGate Cybersecurity, Inc. is seeking an AI/ML Engineer (Senior/Staff/Principal) to design, build, and operationalize threat detection algorithms and ML inference pipelines.

You will surface high-fidelity signals from ZTNA audit logs and drive adaptive access decisions through Risk Sentinel integration. Responsibilities include building detection engines for identity and network threats, implementing real-time streaming pipelines, and advancing autonomous remediation and agent security.