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.
Tech Stack
Categories
About 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 is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.