AI/ML Intern (Cybersecurity)

TL;DR

AI/ML Intern (Cybersecurity): Developing and deploying machine learning models for network segmentation and policy enforcement within the hirify.global Private Access (ZPA) platform with an accent on agentic AI design and user profiling. Focus on building intelligent systems using Python to automate security controls and analyzing large datasets to enhance zero trust architecture.

Location: Must be based in San Jose, CA (Hybrid)

Salary: $35–$55/hour

Company

hirify.global is a cloud-native cybersecurity company providing a Zero Trust Exchange platform to securely connect users, devices, and applications.

What you will do

• Develop intelligent segmentation algorithms utilizing supervised and unsupervised learning techniques.
• Support the design and research of Agentic AI systems for autonomous network decision-making.
• Build AI-powered user profiling solutions and predictive analytics models to identify risks and user patterns.
• Write modular, production-ready code using Python and Java within the ZPA framework.
• Collaborate with cross-functional teams including product managers and research scientists to translate AI concepts into technical solutions.

Requirements

• Must be currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or related quantitative field.
• Strong programming proficiency in Python.
• Hands-on experience with machine learning libraries such as scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
• Solid theoretical foundation in supervised/unsupervised learning, model evaluation, and algorithms.
• Ability to work on-site in San Jose, CA.

Nice to have

• Coursework or project experience in network protocols or zero trust architectures.
• Specific experience in time-series analysis or deep learning frameworks.

Culture & Benefits

• Comprehensive health plans and diverse wellness support.
• Education reimbursement program.
• Flexible time off policies including vacation and sick leave.
• Collaborative environment emphasizing transparency, constructive debate, and customer obsession.
• Support for professional growth through mentorship and hands-on exposure to real-world cloud security.