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SeniorRemoteSanta Clara, California

Machine Learning Engineer

Z
Zscaler
Зарплата
$13,100–$18,800
Уровень
Senior
Формат
Remote
О роли

Описание вакансии

About the company

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.

Responsibilities
  • Translate risk identification methods into agent logic, understanding the benefits and limitations of agents and ensuring quality across risk analysis, explanations, and recommendations.
  • Collaborate closely with threat-research to understand data, threats, and their approach to developing security heuristics.
  • Identify and solve data requirements for analysis, developing and collaborating with data engineering teams for pipelines, enrichments, and aggregations.
  • Follow a data-driven quality approach to threat detection, including backtesting, balancing precision vs recall, tuning, and quality control.
  • Deploy and monitor solutions in production within the CI/CD framework.
Requirements
  • Experience building LLM-powered agents in production: tool and function calling, prompt and context engineering, multi-step orchestration frameworks (LangGraph, LangChain, or equivalent), and evaluation of non-deterministic output against ground truth.
  • 8+ years of professional Python development with demonstrated ability to design and maintain production-quality systems with validated inputs, data contracts, and comprehensive unit and integration tests, alongside hands-on expertise with SQL and Python data analytics libraries (e.g., pandas, Polars, NumPy).
  • Demonstrated ownership of production reliability: CI/CD, containerization, structured logging and metrics, observability and alerting, on-call participation, incident debugging in live distributed systems, and familiarity with cloud and infrastructure-as-code in an AWS environment.
  • Sr. Staff level ownership and leadership of emergent requirements, architecture, and complex engineering projects.
Conditions
  • Remote (USA) role.
  • Base salary range: $157,500 – $225,000 USD per year, excluding commission/bonus/equity and benefits.
  • Comprehensive benefits program.
Стек и навыки

С чем работаем