Staff ML Engineer: AI-Driven Data Lakes & Anomaly Detection

Zscaler, Inc.; San Jose, Northern (CA, KY); Hybrid; USD 152,000 - 190,000; Full time

Job summary

Zscaler, Inc. in San Jose, CA is seeking a Staff Machine Learning Engineer to join the Hybrid team. You will own an agentic troubleshooting framework, advance GenAI features, and work with cloud platforms and data lakes to enable real-time data processing and scalable microservices.

The role emphasizes building production-grade ML systems and deploying LLM-driven solutions at scale. Ideal candidates have strong AI/ML foundations, 5+ years of distributed systems experience, and hands-on

Qualifications

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
• BS in Computer Science with 6+ years of experience, or MS/PhD with 5+ years of experience solving real-world problems using AI/ML and distributed systems
• Proficiency in programming, data structures, algorithms, and machine learning, with exceptional problem-solving skills driven by first-principles thinking
• Hands-on experience with AI modeling, including feature generation, prompt engineering, evaluations, and productionization
• Experience in the full lifecycle of ML models (building, deployment, monitoring, optimization) alongside expertise in designing and operating distributed microservices using Kubernetes and Docker in Python, Go, or Java

Responsibilities

• Own agentic troubleshooting framework, framing high-impact use cases, designing workflows and playbooks, and building processes for all products
• Evaluate and integrate state-of-the-art GenAI advances to deliver reliable and cost-efficient production features, utilizing LLMs, various machine learning models, data processing, fine-tuning, and inference optimization
• Work with the world class cloud platform and data lakes for feature exploration and generation
• Handle volume data with the real time pipeline for data processing and aggregation
• Design, implement, and operate scalable production systems, specifically focusing on microservices, data pipelines, orchestration, and caching

Skills

AI/ML basics

Distributed systems

Kubernetes

Docker

Python/Go/Java

Prompt engineering

LLMs

Problem solving

Education

BS in Computer Science

MS/PhD in CS

Tools

Kubernetes

Docker

Python/Go/Java

Job description

Zscaler, Inc. in San Jose, CA is seeking a Staff Machine Learning Engineer to join the Hybrid team. You will own an agentic troubleshooting framework, advance GenAI features, and work with cloud platforms and data lakes to enable real-time data processing and scalable microservices.

The role emphasizes building production-grade ML systems and deploying LLM-driven solutions at scale. Ideal candidates have strong AI/ML foundations, 5+ years of distributed systems experience, and hands-on