Senior AI Engineer - Regression Evaluation

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 are seeking highly skilled and experienced AI/ML engineers with a strong foundation in regression modeling, evaluation systems, and AI infrastructure to join our team. You will be reporting to the Senior Manager, Data Science. You will be responsible for:

• Designing and automating regression-based evaluation systems for large language models and predictive ML services
• Developing statistical pipelines to monitor model drift, bias, and performance trends, and analyzing outputs to drive actionable insights for improvements
• Collaborating with ML and product teams to benchmark and fine-tune models for generative AI, anomaly detection, and customer analytics
• Partnering with DevOps to deploy evaluation and monitoring tools on AWS or GCP infrastructure, and building dashboards to visualize regression performance metrics (e.g., RMSE, R², stability indices)
• Documenting evaluation methodologies, standardizing validation frameworks, and staying updated on advances in regression evaluation and scalable ML performance measurement

What We’re Looking for (Minimum Qualifications)

• Bachelor’s or Master’s in Computer Science with 5+ years in AI/ML engineering or model evaluation focused on regression analysis and reliability
• Proficient in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) with expertise in performance metrics, A/B testing, and model drift analysis
• Experience with AWS/GCP and deploying evaluation systems using EKS, ECS, SageMaker, or Vertex AI, familiarity with LLM frameworks is a plus
• Proven ability to develop automated regression testing and monitoring systems for production ML pipelines

What Will Make You Stand Out (Preferred Qualifications)

• Experience with MLOps, CI/CD for ML pipelines, and monitoring tools (MLflow, Weights & Biases, Prometheus), with expertise in time-series regression and causal inference
• Proficient in data visualization tools (Plotly, Streamlit, Power BI) with strong collaboration and communication skills for cross-functional work
• Passionate about building reliable, explainable, and measurable AI 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.

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