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Staff Machine Learning Engineer - Data Lake, Anomaly Detection
Zscaler
San Jose, California, USAPosted Jul 13, 2026 · 9h ago
Full-timeStaffHybrid
About this role
Zscaler is seeking a Staff Machine Learning Engineer to join their Data Lake and Anomaly Detection team. This role involves leveraging AI and machine learning to enhance their cloud-native Zero Trust Exchange platform, focusing on building scalable production systems, data pipelines, and integrating state-of-the-art GenAI advances. You will work with large security data lakes to protect customers from cyberattacks and data loss.
What we are looking for
6- Design and implement scalable production systems, microservices, and data pipelines
- Evaluate and integrate GenAI advances, LLMs, and machine learning models
- Work with large-scale cloud platforms and data lakes for feature exploration
- Handle high-volume data with real-time processing pipelines
- Experience in full lifecycle of ML models (building, deployment, monitoring)
- Proficiency in Python, Java, Docker, Kubernetes, and AI/ML technologies
Skills mentioned
5PythonJavaDockerKubernetesMachine Learning
