AI/ML Engineer - Threat Detection Engineering
New
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AppGate Cybersecurity, Inc.Cybersecurity / ZTNA
New York, New York, United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- Artificial IntelligenceKafkaMachine LearningDeep LearningLLM
Requirements
- 7+ years of production AI/ML engineering experience.
- Hands-on experience designing detections for identity-based threats.
- Experience building AI-powered security systems using large language models, deep learning, and agentic AI.
- Real-time or near-real-time pipeline experience (Kafka, Flink, Spark Streaming, or equivalent).
- Familiarity with lakehouse formats like Apache Iceberg or Parquet.
- Strong understanding of MITRE ATT&CK and identity threat kill chains.
- Experience with ZTNA or network access control systems.
- Strong grasp of audit log analysis.
- Mission-driven mindset with a focus on production precision and recall.
Responsibilities
- Design and implement detection algorithms spanning authentication, authorization, network/location, data access, and behavioral domains.
- Build advanced detections for identity compromise, privilege escalation, impossible travel, and data exfiltration.
- Develop ML-based anomaly detection models using Isolation Forest, One-Class SVM, and Autoencoders.
- Architect and operate a real-time detection pipeline from log ingestion to risk scoring.
- Define and implement security controls for autonomous AI agents, including detection of prompt injection and privilege escalation.
- Automate threat investigation, contextual analysis, and remediation workflows.
- Instrument and improve signal quality measuring MTTD and false positive rates.
- Collaborate cross-functionally with security, product, and platform engineering teams.
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