Senior ML Engineer – AI Security Platform (Remote USA)

Zscaler, Inc.; Santa Clara (CA); Hybrid; USD 116,000 - 165,000; Full time

Benefits offered by this job

In-office perks

Job summary

Zscaler is seeking a Senior Machine Learning Engineer for a remote USA role reporting to the Manager AI Platform and Data Science. You will build high-fidelity risk-identification solutions using AI, ML, and data engineering to automate security analysis across distributed data sources.

Role emphasizes ownership, collaboration with threat-research teams, and delivering production-grade, measurable outcomes in a fast-paced security environment.

Qualifications

• Experience building LLM-powered agents in production with tool calling and multi-step orchestration.
• 3+ years of professional Python development with production-grade systems and testing.
• CI/CD, containers, logging, observability, and AWS familiarity.
• Senior-level ownership and leadership of projects.

Responsibilities

• Translate risk identification methods into agent logic and ensure quality across tasks.
• Collaborate with threat-research to understand data and threat heuristics.
• Identify data requirements and collaborate with data engineering for pipelines.
• Apply data-driven quality approaches to threat detection, backtesting, and tuning.
• Deploy and monitor solutions in production within our CI/CD framework.

Skills

LLM-powered agents

Python development

SQL & Python analytics

Technical leadership

Tools

LangGraph

LangChain

Job description

Zscaler is seeking a Senior Machine Learning Engineer for a remote USA role reporting to the Manager AI Platform and Data Science. You will build high-fidelity risk-identification solutions using AI, ML, and data engineering to automate security analysis across distributed data sources.

Role emphasizes ownership, collaboration with threat-research teams, and delivering production-grade, measurable outcomes in a fast-paced security environment.