Secure access for a cloud-first world
Zscaler, headquartered in San Jose, California, is a leader in cloud security solutions, providing services to over 7,000 customers including major corporations like Netflix and Siemens. Founded in 2008, Zscaler went public in 2018 and has since raised over $500 million in funding, with a current va...
Zscaler offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy to support work-life balance. Employees ...
Zscaler fosters a culture of innovation and agility, emphasizing a cloud-first approach to security. The company values transparency and collaboration...
Zscaler • Bangalore, IND
Zscaler is hiring a Staff Machine Learning Engineer to enhance their cloud-native Zero Trust Exchange platform. You'll work with technologies like Python and TensorFlow to solve complex challenges in cybersecurity. This role requires significant experience in machine learning and cloud environments.
You have a strong background in machine learning with at least 5 years of experience in developing and deploying machine learning models. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build robust solutions that address real-world problems. You are familiar with cloud platforms, particularly AWS, and understand how to leverage them for scalable machine learning applications. You thrive in collaborative environments and are comfortable working with cross-functional teams to drive projects forward. You are passionate about cybersecurity and are eager to contribute to innovative solutions that protect users and data. You have a track record of delivering high-quality results under tight deadlines and are committed to continuous learning and improvement.
In this role, you will be responsible for designing and implementing machine learning algorithms that enhance Zscaler's security offerings. You will collaborate with software engineers and data scientists to integrate machine learning models into the existing infrastructure. Your work will involve analyzing large datasets to extract insights and improve model performance. You will also be tasked with conducting experiments to validate model effectiveness and iterating on designs based on feedback. Additionally, you will mentor junior engineers and contribute to the overall growth of the machine learning team. You will participate in code reviews and ensure best practices are followed throughout the development process. Your contributions will directly impact the security of thousands of customers worldwide, making your role crucial to Zscaler's mission.
Zscaler provides a dynamic work environment where innovation is encouraged and valued. You will have the opportunity to work with cutting-edge technologies and be part of a team that is shaping the future of cybersecurity. We offer competitive compensation and benefits, including opportunities for professional development and growth. Our culture emphasizes transparency, collaboration, and accountability, allowing you to thrive and make a meaningful impact in your role. Join us in our mission to accelerate digital transformation and protect users globally.
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