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安全软件工程师项目实习生 - 2026年入职

雇主

ByteDance

地点

California · San Jose · 美国

待遇

$面议

时长

3 months

工作模式

线下

截止日期

1月8日

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岗位摘要

Join our Network Security team as a project intern to research and implement machine learning-based

岗位职责

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

申请条件

Successful candidates must be able to commit to at least a 3-month internship period.
They should have a strong interest in network security and a background in machine learning or deep learning.
Experience with L7 DDoS/WAF technologies is a plus.

雇主简介

ByteDance is a global technology company known for its content platforms, and its infrastructure team builds and manages hyper-scale data centers worldwide, focusing on power and energy management for data center operations.

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数据来源:ByteDance

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