Senior ML Engineer: AI Risk & Threat Analytics (Remote)

Zscaler; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Zscaler is seeking engineers to translate risk identification methods into intelligent agent logic, enabling high-quality risk analysis, explanations, and actionable recommendations. You will collaborate with threat-research teams to understand data and threats, developing security heuristics and data requirements for robust detections.

The role emphasizes a data-driven approach to threat detection, backtesting, precision/recall tuning, and seamless production deployment in a scalable

Qualifications

• 3+ years of Python development with production-quality systems.
• Experience building LLM-powered agents with tool calling and orchestration.
• Ownership of production reliability, CI/CD, containerization, and observability.

Responsibilities

• Translate risk identification methods into agent logic, ensuring quality in risk analysis, explanations, and recommendations.
• Collaborate with threat-research to understand data and threats, developing security heuristics and data requirements.
• Follow a data-driven quality approach to threat detection, including backtesting, precision/recall tuning, and production deployment.

Skills

LLM-powered agents

Python development

Data analytics

Tools

Python

SQL

CI/CD

Docker

Observability

Job description

Zscaler is seeking engineers to translate risk identification methods into intelligent agent logic, enabling high-quality risk analysis, explanations, and actionable recommendations. You will collaborate with threat-research teams to understand data and threats, developing security heuristics and data requirements for robust detections.

The role emphasizes a data-driven approach to threat detection, backtesting, precision/recall tuning, and seamless production deployment in a scalable