AI/ML Intern at Zscaler in USA - Update Location

Summary: Zscaler is a company focused on accelerating digital transformation and enhancing cybersecurity. They are seeking an AI/ML Intern to develop machine learning models that improve the segmentation and policy enforcement of their Zscaler Private Access platform, while gaining hands-on experience in applying AI/ML techniques to real-world cloud security challenges. Responsibilities: - Collaborate with ZPA engineering teams to develop intelligent segmentation algorithms leveraging AI/ML to enhance network and application security - Support the research and development of Agentic AI systems capable of autonomous decision-making within secure networks - 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 - 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 - 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 Required 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 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 Required Skills: Machine Learning, Python, Data Science Important Skills: Java, Deep Learning, Network Security Benefits: Various health plans, Time off plans for vacation and sick time, Parental leave options, Retirement options, Education reimbursement, In-office perks, and more!