Staff Machine Learning Engineer - Data Lake, Anomaly Detection

About the 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 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.

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

Requirements

• 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 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

Qualifications

• Experience designing and scaling autonomous AI agents, agentic orchestration workflows, and advanced large language model (LLM) tooling to automate complex cloud infrastructure troubleshooting or incident response
• Experience fine-tuning and deploying proprietary SLMs/LLMs at scale, with a focus on optimizing latency, cost, safety, and evaluations
• Experience delivering production-ready AI systems, including expertise in anomaly detection, event correlation, incident investigation, and resilient systems with well-defined service-level objectives

Skills

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your 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.

Benefits

Zscaler’s Benefits program is one of the most important ways we support our employees. We offer comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

• Variety of health plans
• Time off plans for vacation and sick time
• Parental leave options
• Retailment options
• Education reimbursement
• In-office perks, and more!

Learn more about Zscaler's hybrid working model and benefits here.

Pay

Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $152,000—$190,000 USD