Staff Machine Learning Engineer

Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

We're looking for an experienced Staff Machine Learning Software Development Engineer to join our Engineering team. Reporting to the Engineering Manager, you'll be responsible for:

• Designing and deploying Gen AI/ML-driven workflows to automate and optimize engineering systems, improving development efficiency, software quality, security, deployments, observability, and incident analysis
• Developing Agentic AI based solutions to connect AI code assist tools with multiple engineering systems and automating workflows
• Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments
• Collaborating with cross-functional teams to define system requirements and design scalable, secure, and reliable solutions
• Providing technical leadership and mentorship to junior team members, fostering a culture of continuous learning and growth

What We're Looking for (Minimum Qualifications)

• Must have 5+ years of experience as a Software Engineer or ML platform engineer
• Proficiency with data science tools and languages and frameworks such as Python, R, Java, TensorFlow, PyTorch, Langchain, Lang Graph, N8N, MXNet, SQL and related libraries and frameworks with the ability to write clean, efficient, and maintainable code
• Proven experience in creating Gen AI/ML-based systems using Large Language Models (LLMs), fine-tuning LLMs for specific tasks, Retrieval-Augmented Generation (RAG) and Agentic AI
• Strong proficiency in system design, security, and scalability principles, with a track record of designing and implementing complex, scalable systems
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is highly desirable

What Will Make You Stand Out (Preferred Qualifications)

• Expertise in developing Agentic AI based solutions using MCP servers, ADK or equivalent frameworks
• Experience in building and deploying ML models in production environments, including model orchestration using tools like Kubeflow, Kubernetes and Airflow
• Familiarity with distributed computing frameworks (e.g., Spark), big data technologies, GPU/TPU computing solutions and designing workflows tailored to different hardware platforms

#LI-Hybrid

#LI-AC10

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

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

Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here

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By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal_

link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.