About the Team
The Network Security team is on the mission to build innovative and enterprise-level network security products and solutions, to protect online businesses from being interrupted by cyber attacks. We're a group of people passionate about challenging the status quo to solve the real world's cybersecurity problems effectively and efficiently. We set audacious goals and strive to achieve them. We believe in teamwork and collaboration and we encourage open and succinct communication. If you share the same value and would like to make an impact on network security, please come join us!
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.
Responsibilities:
Security interns will research and implement intelligent security protection algorithms based on machine learning, deep learning, including:
- L7 DDoS/WAF Traffic modeling, anomaly detection and attack identification
- LLM-assisted L7DDoS/WAF rule generation
Minimum Qualifications
- Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Computer Engineering, Information Systems or other STEM disciplines
- Solid foundation in machine learning/deep learning, with an understanding of the principles and applicable scenarios of common models
- Familiar with at least one deep learning framework (PyTorch)
- Interested in or with practical experience in the field of Cyber Security or network traffic analysis
Preferred Qualifications
- Experience with NLP/LLM
- Knowledge of distributed systems, edge computing, or high-performance network programming
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