Zscaler

About Zscaler

Secure access for a cloud-first world

🏢 Tech, Computer & Network Security👥 1K-5K📅 Founded 2007📍 San Jose, California, United States

Key Highlights

  • Public company (NASDAQ: ZS) with a valuation over $4B
  • 7,000+ enterprise customers including Netflix & Siemens
  • Headquartered in San Jose, California
  • Over $500M raised in funding since inception

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...

🎁 Benefits

Zscaler offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy to support work-life balance. Employees ...

🌟 Culture

Zscaler fosters a culture of innovation and agility, emphasizing a cloud-first approach to security. The company values transparency and collaboration...

Zscaler

Machine Learning Engineer Staff

ZscalerBangalore

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Overview

Zscaler is hiring a Staff Machine Learning Engineer to contribute to their cloud-native Zero Trust Exchange platform. You'll work with technologies like Python and TensorFlow to enhance cybersecurity solutions. This role requires significant experience in machine learning and AI.

Job Description

Who you are

You have a strong background in machine learning and AI, with at least 5 years of experience in developing and deploying machine learning models. Your expertise in Python is complemented by your proficiency in frameworks such as TensorFlow and PyTorch, allowing you to build robust solutions that address complex challenges in cybersecurity. You understand the nuances of data preprocessing, feature engineering, and model evaluation, ensuring that your contributions lead to high-quality outcomes.

You thrive in collaborative environments, working closely with cross-functional teams to translate business requirements into technical solutions. Your ability to communicate complex concepts clearly makes you an effective partner to stakeholders, and you enjoy engaging in constructive debates to drive innovation. You are committed to continuous learning and staying updated with the latest advancements in machine learning and AI technologies.

Desirable

Experience with generative AI technologies is a plus, as is familiarity with cloud platforms like AWS or Azure. You may also have a background in cybersecurity, which would enhance your understanding of the challenges Zscaler addresses. A passion for solving real-world problems through technology is essential, as is a proactive approach to identifying opportunities for improvement.

What you'll do

In this role, you will lead the design and implementation of machine learning models that enhance Zscaler's cybersecurity offerings. You will collaborate with a team of engineers and data scientists to develop algorithms that detect and mitigate threats in real-time. Your work will involve analyzing large datasets to extract insights and improve model performance, ensuring that Zscaler remains at the forefront of cloud security.

You will also be responsible for conducting experiments to validate model effectiveness, iterating on designs based on performance metrics. Your contributions will directly impact the security of millions of users worldwide, making your role critical to the company's mission. You will mentor junior engineers, sharing your knowledge and fostering a culture of innovation and excellence within the team.

What we offer

Zscaler provides a dynamic work environment where your contributions are valued and recognized. You will have the opportunity to work on cutting-edge technologies and make a significant impact in the field of cybersecurity. The company promotes a culture of transparency and accountability, encouraging you to take ownership of your projects and drive results. Competitive compensation and benefits are part of the package, along with opportunities for professional growth and development within the organization.

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