AI/ML Intern

The Role

We’re seeking an exceptional AI/ML Intern – ZPA AI Segmentation to join our Engineering Department. This is a Hybrid role, requiring office presence in San Jose, CA, and reporting to the Sr. Director, Software Development Engineering.

The AI/ML Intern – ZPA AI Segmentation will focus on developing, training, and deploying machine learning models to enhance the segmentation and policy enforcement capabilities of the Zscaler Private Access (ZPA) platform. This role involves working with large datasets to build intelligent systems that automate security controls, directly contributing to the scalability and intelligence of our zero trust architecture. You will gain hands-on experience applying cutting-edge AI/ML techniques to critical, real-world cloud security challenges.

What you’ll do (Role Expectations)

• ZPA AI Segmentation: Collaborate with ZPA engineering teams to develop intelligent segmentation algorithms leveraging AI/ML to enhance network and application security. Design and implement supervised and unsupervised learning techniques for behavior-based segmentation of assets and users.
• Agentic AI Design & Development: Support the research and development of Agentic AI systems capable of autonomous decision-making within secure networks. Explore the integration of AI agents into enterprise solution architectures to automate security workflows and enhance proactive threat management.
• Advanced User Profiling: Build user profiling solutions powered by AI/ML to identify user patterns, preferences, and potential risks. Assist in the development of predictive analytics models to anticipate user requirements and offer personalized ZPA solutions.
• Programming and Code Development: Develop robust and efficient AI capabilities using Java and Python within the ZPA framework. Write clean, modular, and production-ready code while collaborating with experienced senior engineers.
• Collaboration & Mentorship: Work closely with cross-functional teams, including senior engineers, product managers, and research scientists, to translate abstract AI/ML concepts into tangible solutions. Seek mentorship and support to strengthen your technical and professional skills during the internship.

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Actively pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related quantitative field.
• Strong programming skills in Python, with hands-on experience utilizing key machine learning and data libraries (e.g., scikit-learn, Pandas, NumPy, or TensorFlow/PyTorch).
• Solid theoretical understanding of core machine learning concepts, including supervised/unsupervised learning, model evaluation metrics, and data structures/algorithms.
• Motivated self-starter with a passion for innovation and technology, particularly in applying advanced analytics to real-world security challenges.

What Will Make You Stand Out (Preferred Qualifications)

• Prior coursework or project experience related to network protocols, zero trust architectures, network segmentation, or cybersecurity policy enforcement.
• Hands-on experience with advanced deep learning frameworks or specific experience in time-series analysis relevant to network telemetry data.

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