Staff Machine Learning Engineer - Data Lake, Anomaly Detection

<div class="content-intro"><p data-pm-slice="1 1 []">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 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.</p> <p>We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.</p></div><p><span style="font-size: 12pt;"><strong><span data-markdown-start-index="2">Role</span></strong></span></p> <p><br><span style="font-size: 12pt;" data-markdown-start-index="8">We are looking for a Staff Software Engineer to join our team. This is a Hybrid role, reporting to the Sr. Manager, Software Engineering in the Zscaler Digital Experience (Core Intelligence and Data) department. You will join the team responsible for building the world’s largest cloud security platform, helping us enhance services and increase our global footprint. You will play a pivotal role in enabling organizations worldwide to harness speed and agility through a cloud-first strategy, leveraging our multitenant architecture that serves over 15 million users.</span></p> <p><span style="font-size: 12pt;"><strong><span data-markdown-start-index="579">What you’ll do (Role Expectations)</span></strong></span></p> <ul> <li style="font-size: 12pt;"> <p><span style="font-size: 12pt;" data-markdown-start-index="617">Own agentic troubleshooting framework, framing high-impact use cases, designing workflows and playbooks, and building processes for all products</span></p> </li> <li style="font-size: 12pt;"> <p><span style="font-size: 12pt;" data-markdown-start-index="763">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</span></p> </li> <li style="font-size: 12pt;"> <p><span style="font-size: 12pt;" data-markdown-start-index="985">Work with the world class cloud platform and data lakes for feature exploration and generation</span></p> </li> <li style="font-size: 12pt;"> <p><span style="font-size: 12pt;" data-markdown-start-index="1081">Handle volume data with the real time pipeline for data processing and aggregation</span></p> </li> <li style="font-size: 12pt;"> <p><span style="font-size: 12pt;" data-markdown-start-index="1165">Design, implement, and operate scalable production systems, specifically focusing on microservices, data pipelines, orchestration, and caching</span></p> </li> </ul> <p><span style="font-size: 12pt;"><strong><span data-markdown-start-index="1310">Who You Are (Success Profile)</span></strong></span></p> <ul> <li style="font-size: 12pt;"> <p><span style="font-size: 12pt;" data-markdown-start-index="1343">Thrive in ambiguity, comfortably building the path as you walk it and viewing dynamic environments as opportunities to construct meaningful solutions.</span></p> </li> <li style="font-size: 12pt;"> <p><span style="font-size: 12pt;" data-markdown-start-index="1495">Operate with a strong ownership mindset, combining a passion for the mission with high integrity and the ability to navigate seamlessly between high-level strategy and hands-on execution.</span></p>