We are looking for talented individuals to join us for an internship in 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in May/June 2025 . Successful candidates must be able to commit to one of the following summer internship start dates below:
- Monday, May 12
- Monday, May 19
- Tuesday May 27 (Memorial Day May 26)
- Monday, June 9
- Monday, June 23
Please state your availability clearly in your resume (Start date, End date).
Responsibilities:
- Build highly scalable systems including ad fraud detection, risk control, ads integrity systems, to improve user's experiences with ads across the platform.
- Collaborate with users to build next-gen knowledge base systems including search engines, workflow automation, AI-empowered tools, etc.
-Contribute to the success of a rapidly growing and evolving organization with speediness and quality.
-Collaborate with PM and R&D teams globally, in a fast paced environment.Minimum Qualifications:
- Currently pursuing an Bachelor's or Master's degree in Computer Science or related fields or equivalent practical experience
- Excellent programming, debugging, and optimization skills in general purpose programming languages
- Ability to think critically and to formulate solutions to problems in a clear and concise way.
- Proactive communication with team members
- Able to commit to working for 12 weeks during Summer 2025
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python, Java.
- knowledge in one of the following areas: full-stack, large-scale systems, data.
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