Zscaler

Staff Machine Learning Engineer - Data Lake, Anomaly Detection

Zscaler
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16 days ago
San Jose, CA, USAStaff+
H1B Sponsor

Base Salary

$152k - $190k/yr

Responsibilities

  • Own the agentic troubleshooting framework, including high-impact use cases, workflows, playbooks, and cross-product processes.
  • Evaluate and integrate GenAI advances using LLMs, machine learning models, data processing, fine-tuning, and inference optimization.
  • Explore and generate features using cloud platforms and data lakes.
  • Process and aggregate high-volume data through real-time pipelines.
  • Design, implement, and operate scalable production systems involving microservices, data pipelines, orchestration, and caching.
  • Build and operate ML models across their lifecycle, including development, deployment, monitoring, and optimization.

Requirements

  • Foundational understanding of AI/ML technologies and experience applying AI-driven solutions within a 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 strong first-principles problem-solving skills.
  • Hands-on experience with AI modeling, feature generation, prompt engineering, evaluations, and productionization.
  • Experience designing and operating distributed microservices with Kubernetes and Docker using Python, Go, or Java.
  • Preferred experience designing and scaling autonomous AI agents, agentic orchestration workflows, and LLM tooling for cloud infrastructure troubleshooting or incident response.
  • Preferred experience fine-tuning and deploying proprietary SLMs/LLMs at scale while optimizing latency, cost, safety, and evaluations.
  • Preferred experience delivering production AI systems involving anomaly detection, event correlation, incident investigation, and resilient systems with defined service-level objectives.

Benefits

  • Hybrid work arrangement based in San Jose, California, with three days per week in the office.
  • Various health plans.
  • Vacation and sick time off plans.
  • Parental leave options.
  • Retirement options.
  • Education reimbursement.
  • In-office perks.
  • Inclusive benefits and workplace accommodations.
Zscaler

About Zscaler

5,001-10,000 employees

Zscaler (NASDAQ: ZS) is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across 160+ data centers globally, the Zscaler Zero Trust Exchange™ platform combined with advanced AI combats billions of cyber threats and policy violations every day and unlocks productivity gains for modern enterprises by reducing costs and complexity. Stay Connected: LinkedIn: https://www.linkedin.com/company/zscaler Twitter: https://www.twitter.com/zscaler Facebook: https://www.facebook.com/Zscaler/ Instagram: https://www.instagram.com/zscalerinc/

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