Search Security Strategy Project Intern (TikTok-Platform Responsibility-Search) - 2026 Start
TikTok
- Location
- San Jose, California, United States of America
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- H-1B history
- 148 approvals (FY2023)
About this role
TikTok Search team aims to bring novel search experiences to the the global users. Join TikTok Search, you'll help shape the future of visual and social-first search experiences and push the boundaries of discovery in the world of video.
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 work on-site 5 days per week and at least 3 months long internship period, with immediate availability preferred.
Responsibilities: - Public Opinion Detection & Analysis:Participate in designing and optimizing proactive search public opinion monitoring mechanisms; track online hot topics, conduct in-depth risk analysis for search scenarios, and implement early detection, early judgment, and early intervention of risks. - Large Model & Strategy Implementation:Maintain customized search public opinion intervention strategies and platforms; participate in strategy workflow design and effectiveness review. Build and operate sensitive word libraries, develop data training and evaluation systems for public opinion & hot-event large models, and establish hot-event databases and knowledge systems to enhance model understanding of event risks and platform impacts. - Emergency Response & Disposal:Take charge of public opinion emergency response; conduct rapid and accurate intervention for sudden search security public opinion incidents, complete post-incident analysis and review, and drive systematic optimization.