Staff Machine Learning Engineer - Data Lake, Anomaly Detection

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 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. 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. Role We are looking for a Staff Software Engineer to join our team. This is a hybrid, based in San Jose, CA 3 days a week 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 sec [... source excerpt omitted ...] se 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 Who You Are (Success Profile) You thrive in ambiguity. Yo [... source excerpt omitted ...] ur own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum 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 Hand-on exper