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Security Software Engineer Project Intern

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Security Software Engineer Project Intern in USA

  • ByteDance
  • Full time
  • Email
  • San Jose, CA

Responsibilities

  • Research and implement intelligent security protection algorithms based on machine learning and deep learning.
  • Develop L7 DDoS/WAF traffic models, anomaly detection methods, and attack identification capabilities.
  • Develop LLM-assisted L7 DDoS/WAF rule generation solutions.

Requirements

  • Currently pursuing an undergraduate or postgraduate degree/master's degree in Computer Science, Computer Engineering, Information Systems, or another STEM discipline.
  • Strong foundation in machine learning and deep learning, including understanding of common model principles and applicable scenarios.
  • Familiarity with at least one deep learning framework, including PyTorch.
  • Interest in or practical experience with cybersecurity or network traffic analysis.
  • Preferred experience with NLP/LLM and knowledge of distributed systems, edge computing, or high-performance network programming.

Benefits

  • At least a 3-month internship commitment is required.
  • The project internship provides short-term, hands-on professional experience and on-the-job learning.
  • Applications are reviewed on a rolling basis.

ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This...

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