Software Engineer Project Intern - Network Security

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! We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company. Internships at Our Company aims to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: May 11th, 2026 May 18th, 2026 May 26th, 2026 June 8th, 2026 June 22nd, 2026 Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment. 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:: - Currently pursuing an Undergraduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline - Able to commit to working for 12 weeks in 2026 - 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