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 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 AI/ML/DS Engineering Interns to join our engineering team. Reporting to an Engineering manager, you’ll be responsible for:
- Working on machine learning models to classify, analyze, and protect sensitive data.
- Collaborating with engineers and data scientists to develop AI-powered tools for incident management and detection.
- Designing and implementing algorithms that enhance system efficiency and performance.
- Diving into real-world projects like data protection, telemetry, and automated observability tools.
What We’re Looking For (Minimum Qualifications)
- Rising Sophomore or Junior actively pursuing a degree in Computer Science, Software Engineering, or related field in progress
- Strong programming skills in Python or R, with familiarity in machine learning libraries like TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of data structures, algorithms, and statistical methods.
- Experience working with large datasets using SQL or NoSQL databases.
What Will Make You Stand Out (Preferred Qualifications)
- Hands-on experience with natural language processing (NLP) or large language models (LLMs).
- Familiarity with visualization tools for presenting insights, such as Tableau or Matplotlib.
- Previous experience in developing automated testing or observability frameworks.
- Exposure to cloud platforms like AWS, Azure, or GCP.
Example Projects You Might Work On
- Design a machine learning model for sensitive data classification and anomaly detection.
- Develop AI-powered tools to automate runbooks for incident management and response.
- Implement advanced analytics dashboards to enhance system observability and telemetry.
- Experiment with large language models (LLMs) for secure data insights and classification tasks.
- Build automated frameworks for testing and optimizing machine learning algorithms.
Zscaler interns are not eligible for benefits.
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Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we believe that diversity drives innovation, productivity, and success. We are looking for individuals from all backgrounds and identities to join our team and contribute to our mission to make doing business seamless and secure. We are guided by these principles as we create a representative and impactful team, and a culture where everyone belongs. For more information on our commitments to Diversity, Equity, Inclusion, and Belonging, visit the Corporate Responsibility page of our website.
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:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
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 proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration 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 characteristics 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. For additional information about the federal requirements, click here.
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.
