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Zscaler

Sr. Staff Machine Learning Engineer - Data Lake, Anomaly Detection

Zscaler

Published 11 May 2026
San Jose, CA, USA
154K - 220K USD Annual
Full Time

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Role Highlights

Languages used

Python
GO

Key skills

Data Lakes
Prompt Engineering
Machine Learning
Computer Science
Distributed Systems
Data Processing
Data Structures
Cloud Security
LLMs
Transformation
Agile
AI
Pivotal
Architecture
Inference
Microservices
PhD
Modelling
Deployment
Anomaly Detection

Tools, Libraries and Frameworks

Kubernetes
Docker

Description

The role involves owning an agentic troubleshooting framework and designing workflows, playbooks, and processes for various products. The engineer will evaluate and integrate generative AI advances to deliver reliable production features while utilizing large language models and machine learning. Responsibilities include working with cloud platforms and data lakes to perform feature exploration and generation. The position requires handling high-volume data through real-time pipelines for processing and aggregation. Additionally, the role focuses on designing, implementing, and operating scalable production systems, specifically microservices, orchestration, and caching.

Required Qualifications and Skills

Candidates must possess a Bachelor’s degree in Computer Science with at least 8 years of experience, or a Master’s or PhD with at least 5 years of experience in AI, machine learning, and distributed systems. Proficiency in programming, data structures, and algorithms is required, alongside hands-on experience in the full lifecycle of machine learning models. Expertise in designing and operating distributed microservices using Kubernetes and Docker is necessary. Applicants must also demonstrate experience with AI modeling, including prompt engineering and productionization, using Python, Go, or Java.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Zscaler

Size

6971

Founded

HQ

San Jose, US

Public/Private

Public Company

Description

Zscaler accelerates digital transformation for its customers by making them more agile, efficient, resilient, and secure, leveraging the Zscaler Zero Trust Exchange, a cloud-native platform that protects against cyberattacks and data loss by securely connecting users, devices, and applications. With over a decade of experience in developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers globally, including 450 of the Forbes Global 2000 organizations, by eliminating latency-creating gateway appliances and improving user experiences. Founded in 2007, Zscaler's mission is to make the cloud a safe place to do business, and its security platform strategically places a company's defenses and controls on the internet to ensure every connection is fast and secure, regardless of user location or application workload.

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