The Platform Engineering Team builds the multimedia infrastructure that powers TikTok and our other products. As part of the Intelligent Video department, we specialize in Video-on-Demand (VoD) technology, developing solutions that process billions of videos every day. Our work focuses on optimizing TikTok's high-performance VoD transcoder, architecting cost-saving VoD strategy platforms that have already reduced expenses by tens of millions, and building distributed task processing platforms that streamline multimedia development across the company. When you join our team, you'll contribute to video technologies that captivate millions of users worldwide while having opportunities to grow your skills and collaborate with industry experts. You'll directly shape the multimedia experiences that define modern social media. If you're energized by technical challenges, excited about cutting-edge technology, and want to make a meaningful impact at scale, we'd love to have you explore the exciting opportunities on our team.
We are looking for talented individuals to join us for an internship in November/December 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to the following Internships
- From December 2026 - February 2027 (onboard by 7 Dec 2026)
Responsibilities
- Participate in the design, development, and maintenance of the large-scale multimedia processing system, which processes billions of videos per day for TikTok.
- Contribute to the construction of the VoD strategy platform to deliver cost-effective transcoding and storage optimization strategies for saving a tremendous amount of VoD costs.
- Work in areas related to large-scale distributed system development, workflow orchestration, task scheduling, just-in-time video transcoding, data analysis, etc.