AI/ML Intern

Hybrid role with office presence in San Jose, CA. Develop, train, and deploy ML models to improve ZPA segmentation. Work with large datasets to power AI-driven security controls. Collaborate with ZPA engineers to build AI segmentation algorithms. Implement supervised/unsupervised learning for behavior-based segmentation. Develop production-ready code in Java and Python within ZPA. Pursuing a Bachelor's or Master's in CS/DS/EE or related quantitative field. Strong Python with ML libraries (scikit-learn, Pandas, NumPy, TF/PyTorch). Solid ML concepts: supervised/unsupervised, metrics, algorithms. Self-starter with passion for innovation in security challenges. Various health plans Time off for vacation and sick leave Parental leave options Retirement options Education reimbursement In-office perks