Machine Learning Engineer • Principal

Who you are

You have a strong background in machine learning and artificial intelligence, with a proven track record of developing and deploying machine learning models in production environments. Your experience spans over 5 years, during which you've tackled complex challenges and contributed to impactful projects. You thrive in collaborative environments and are driven by a purpose to enhance cybersecurity solutions. Your technical expertise is complemented by excellent communication skills, allowing you to articulate complex concepts to both technical and non-technical stakeholders.

You are familiar with cloud-native architectures and understand the intricacies of deploying machine learning solutions in a scalable manner. Your knowledge of data pipelines and model optimization techniques enables you to ensure high performance and reliability in your work. You are passionate about staying updated with the latest advancements in machine learning and cybersecurity, continuously seeking opportunities to learn and grow.

Desirable

Experience with cloud platforms such as AWS or Azure is a plus, as is familiarity with cybersecurity principles and practices. A background in software engineering or data engineering can also enhance your contributions to the team. You are open to mentoring junior engineers and sharing your knowledge to foster a culture of learning within the organization.

What you'll do

As a Principal Machine Learning Engineer at Zscaler, you will lead the design and implementation of machine learning models that enhance the security of our cloud-native Zero Trust Exchange platform. You will collaborate with cross-functional teams, including cloud architects and software engineers, to integrate machine learning solutions into our existing infrastructure. Your role will involve conducting research to identify new opportunities for machine learning applications in cybersecurity, as well as optimizing existing models for better performance.

You will be responsible for developing data pipelines that ensure the availability and quality of data for model training and evaluation. Your expertise will guide the team in selecting appropriate algorithms and techniques for various use cases, ensuring that our solutions are both effective and efficient. You will also play a key role in establishing best practices for model deployment and monitoring, contributing to the overall reliability of our systems.

In addition to technical responsibilities, you will participate in strategic discussions about the future direction of our machine learning initiatives. Your insights will help shape the roadmap for new features and enhancements, ensuring that we remain at the forefront of cybersecurity innovation. You will have the opportunity to present your work to stakeholders and contribute to the overall mission of Zscaler in transforming the cybersecurity landscape.

What we offer

At Zscaler, we foster a culture of execution centered on customer obsession, collaboration, ownership, and accountability. You will be part of a high-performing team that values transparency and constructive debate, allowing you to bring your vision and passion to the table. We offer competitive compensation and benefits, along with opportunities for professional development and growth. Join us in making a positive difference on a global scale as we continue to build the world's largest cloud security platform.