Software Engineer Graduate (Video-on-Demand Algorithm) - 2027 Start
TikTok
- Location
- San Jose, California, United States of America
- Employment
- Full Time
- Work model
- On-Site
- Level
- New Grad
- H-1B history
- 148 approvals (FY2023)
About this role
About the team The Video-on-Demand (VoD) Algorithm team is responsible for optimizing the app experience related to performance for TikTok users. This team collaborates with all teams within and beyond the VoD team, to provide algorithmic support for end-to-end optimization solutions, including video shooting, uploading, processing, delivery, and playback, etc.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. 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.
Responsibilities - Design and implement media streaming-related algorithms to improve TikTok user experience. Examples include video preloading, adaptive bitrate streaming (ABR), network bandwidth estimation, CDN traffic allocation, and transport-layer algorithms, to name a few. - Contribute to end-to-end media ecosystem design to improve the algorithmization of the multimedia system. - Run controlled experiments on millions of streaming sessions to validate improvements.