Security Software Engineer Project Intern (Network Security) - 2026 Start (BS/MS) Project Inter[...]

ByteDance; San Jose (CA); On-site; USD 61,992 - 82,656; Part time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

10 paid holidays

Paid sick time

Housing allowance for non-remote interns

Job summary

A leading technology company is seeking a Security Software Engineer Project Intern (Network Security) in San Jose. This internship provides hands-on experience in applying machine learning and deep learning principles to network security. Candidates should pursue a relevant degree and have a strong foundation in security and data analysis. The position offers an hourly rate of $45–$60, health insurance, and other benefits, making it an excellent opportunity for those aiming to impact cybersecurity.

Qualifications

• Understanding of principles of common models in machine learning/deep learning.
• Familiarity with deep learning frameworks.
• Interest or experience in cybersecurity.

Responsibilities

• Research and implement intelligent security protection algorithms.
• Model L7 DDoS/WAF traffic and detect anomalies.
• Generate DDoS/WAF rules using LLM.

Skills

Machine learning

Deep learning

Cybersecurity

Network traffic analysis

Education

Pursuing a degree/master in Computer Science, Computer Engineering, Information Systems, or other STEM disciplines

Tools

PyTorch

Job description

Security Software Engineer Project Intern (Network Security) - 2026 Start (BS/MS)

Location: San Jose

Team: Technology

Employment Type: Intern

Job Code: A226283

About the Team

The Network Security team is on a mission to build innovative, enterprise‑level network security products and solutions, protecting online businesses from cyber attacks. We are passionate about challenging the status quo to solve real‑world cybersecurity problems effectively and efficiently. We set audacious goals, strive to achieve them, and believe in teamwork, collaboration, and open, succinct communication. If you share these values and want to impact network security, join us!

As a project intern, you will engage in short‑term projects that give you real‑world experience and practical skills in a fast‑paced work environment. Applications will be reviewed on a rolling basis—apply early. Successful candidates must be able to commit to at least a 3‑month internship period.

Responsibilities

• Research and implement intelligent security protection algorithms based on machine learning and deep learning, including:
• L7 DDoS/WAF traffic modeling, anomaly detection, and attack identification
• LLM‑assisted L7 DDoS/WAF rule generation

Qualifications

• Minimum Qualifications
  • Undergraduate or postgraduate 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).
  • Interest in or practical experience in cyber security or network traffic analysis.
• Preferred Qualifications
  • Experience with NLP/LLM.
  • Knowledge of distributed systems, edge computing, or high‑performance network programming.

Job Information

The hourly rate range for this position in the selected city is $45–$60.

Benefits

Benefits may vary depending on the nature of employment and the country work location. Interns receive day‑one access to health insurance, life insurance, wellbeing benefits, and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in the first half of the year, 40 if hired in the second half). Interns who are not 100% remote may also be eligible for a housing allowance.

Short‑term note: The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Equal Opportunity Statement

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
3. Exercising sound judgment.

About Us

Founded in 2012, ByteDance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products—including TikTok, Lemon8, CapCut, and Pico—and platforms specific to the China market, ByteDance has made it easier and more fun for people to connect, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance’s mission. Our innovative products help people authentically express themselves, discover and connect, and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity, and enrich life—an aspiration we pursue every day. As ByteDancers, we strive to do great things with great people, leading with curiosity, humility, and a desire to make impact in a rapidly growing tech company.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

Reasonable Accommodation

ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request.

Privacy Notice

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.