Senior Machine Learning Engineer (Fully 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

• 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.

Success Profile:

• Thrive in ambiguity and build the path forward in unstructured environments with ownership and passion.
• Act like an owner, balancing high-level strategy with hands-on execution and a data-driven mindset.
• Bring constructive energy to complex challenges, inspiring teams to stay solution-focused and impact-driven.

Minimum Qualifications:

• Experience building LLM-powered agents in production with tool calling, prompt engineering, and orchestration frameworks.
• 3+ years of Python development with production-quality systems, SQL, and data analytics libraries.
• Demonstrated ownership of production reliability, CI/CD, containerization, and observability in live distributed systems.

Preferred Qualifications:

• Experience with production AI/ML systems balancing cost, latency, and accuracy with model selection and regression testing.
• Background in cyber threat research, detection engineering, fraud detection, or close collaboration with risk analysis teams.
• Data engineering experience with large-volume event data, pipelines, and search-backed or columnar stores.

Zscaler

Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. The company is the world's largest in-line cloud security platform, distributed across 160+ exchanges, with an AI-native culture focused on ownership, collaboration, and trust.