Senior Staff Machine Learning Engineer

Senior Staff Machine Learning Engineer

About Zscaler

Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world's largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.

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 Senior Staff Software Development Engineer to join our Engineering team. Reporting to the Senior Manager, Machine Learning Engineering, you'll be responsible for:

• Developing and implementing use cases for the AI Copilot to be utilized by IT administrators, cybersecurity operations, and vulnerability management teams, focusing on both efficiency and user experience
• Conducting in-depth research on the latest advancements in GenAI technologies and applying these cutting-edge techniques to build AI Copilot use cases
• Designing, building, and deploying distributed micro-services, ensuring scalability and robustness
• Collaborating closely with Product Managers and customers to design high-value use cases that meet business objectives and drive product innovation

What We're Looking for (Minimum Qualifications)

• 8+ years of experience delivering end-to-end AI/ML solutions in production
• Proficiency with mainstream modeling toolkits, including ML/Deep learning (TensorFlow/Keras, PyTorch, Sklearn, Spacy), Data Science (Pandas, Numpy, Spark), and LLM frameworks (HuggingFace, Langchain, Nvidia Nemo stack)
• Solid experience in scalable and distributed system design, with a track record of implementing systems or frameworks with high throughput, resilience, and modularity
• Proficient knowledge in backend-end development concepts: including building and integrating APIs, managing data & ML workflows, and working with server-side technologies in scalable production environments
• Familiarity with cloud-native DevOps, including practices and tools like Jenkins, Kubernetes (K8s), Docker, Helm, Istio, and Terraform

What Will Make You Stand Out (Preferred Qualifications)

• Experience in training language models (LLM or SLM) for production usage
• Experience or enthusiasm in cybersecurity or digital transformation

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At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

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.

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.

Experience LevelSenior Level

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