Staff Machine Learning Engineer

About Zscaler

Serving thousands of enterprise customers around the world including 40% 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 Staff Software Engineer to join our Unified API platform team. Reporting to the Director, you'll be responsible for:

• Leading identification and resolution of performance issues by developing advanced AI/ML models that pinpoint root causes of poor experience and detect performance bottlenecks for users
• Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points in the digital experience
• Implementing advanced AI/ML algorithms to detect and forecast anomalies in user experience across multiple dimensions
• Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments
• Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders

What We're Looking for (Minimum Qualifications)

• A Bachelors or Master’s(preferable) degree in Computer Science, Data Science, Statistics, or a related field  with 7+ years of professional experience in data science or a related role
• Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks
• Strong experience with networking and end-point observability systems
• Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets
• Strong experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow

What Will Make You Stand Out (Preferred Qualifications)

• Published research or contributions to digital experience/end-user observability/networking/ data science community
• Demonstrated experience in the monitoring space, with a deep understanding of user experience metrics, monitoring tools, and methodologies
• Experience with designing complex systems and scaling ML models on large scale distributed systems

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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:

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.