Zscaler→
AI/MI Intern, Agenic Cloud at Zscaler in San Jose, CA
InternshipHybridSan Jose, CA
Skills
pythonmachine learningsupervised learningunsupervised learningmodel evaluationdata structuresalgorithmsscikit-learnpandasnumpytensorflowpytorchself-starting
Job Description
Summary: Zscaler accelerates digital transformation to ensure customers can be more agile and secure. They are seeking an AI/ML Intern to develop, train, and deploy machine learning models for enhancing the Zscaler Private Access platform's capabilities.
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
- Develop robust and efficient AI capabilities using Java and Python within the ZPA framework
- Work closely with cross-functional teams, including senior engineers, product managers, and research scientists, to translate abstract AI/ML concepts into tangible solutions
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: Python, Machine Learning, Supervised Learning, Unsupervised Learning, Model Evaluation, Data Structures, Algorithms, scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, Self-starting
Benefits: Various health plans, Time off plans for vacation and sick time, Parental leave options, Retirement options, Education reimbursement, In-office perks, and more!
Benefits
Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more!