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Security Software Engineer Project Intern (Network Security)

TikTok · San Jose, CA · 收录于 8月12日
CSO 可内推 本科硕士 软件工程
评分
82
发布日期
收录于 8月12日 (3周前)
签证支持
支持 (该雇主近年 H-1B 批准 442 例)
内推
有 CSO 内推渠道
公司规模
10k+
行业
互联网

岗位描述

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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