ByteDance
Security Software Engineer Project Intern (Network Security) - 2026 Start (BS/MS)
San Jose, California · Internship · Posted Oct 28, 2026
- Experience
- No years specified; must commit to an internship of at least 3 months.
- Education
- Currently pursuing an undergraduate or postgraduate degree in Computer Science, Computer Engineering, Information Systems, or another STEM discipline.
About the job
Researches and implements machine-learning-based network security algorithms for L7 DDoS/WAF traffic modeling, anomaly detection, attack identification, and LLM-assisted rule generation.
What you'll do
- Model L7 DDoS/WAF traffic and develop anomaly detection and attack identification algorithms.
- Research and implement intelligent security protection algorithms using machine learning and deep learning.
- Develop LLM-assisted L7 DDoS/WAF rule generation.
What they ask for
- Currently pursuing an undergraduate or postgraduate degree in Computer Science, Computer Engineering, Information Systems, or another STEM discipline.
- Solid foundation in machine learning/deep learning and understanding of common models and their applicable scenarios.
- Familiarity with at least one deep learning framework (PyTorch).
- Interest in or practical experience with cybersecurity or network traffic analysis.
Nice to have
- Experience with NLP/LLM.
- Knowledge of distributed systems, edge computing, or high-performance network programming.
Tools
PyTorch
AI focus
Machine learning and deep learning for security protection, including traffic modeling, anomaly detection, attack identification, and LLM-assisted WAF rule generation.
Model-written summary · the original posting is authoritative