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# Software Engineer Graduate (Video-on-Demand Algorithm) - 2027 Start

- **Company:** Tiktok Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Starter
- **Salary:** $128,000.0 - $316,800.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Technology
- **Published:** August 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cefcd89d60145626

## About the Role

* Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Computing Engineering or a related discipline.
 * Industry or academic experience in the multimedia or network domain.
 * Proven ability to develop new algorithms and identify problems in existing solutions.
 * Fluent in statistics and data analysis.

Preferred Qualifications

 * Experience with shipping software on behalf of a major brand at scale is a big plus.
 * Experience with learning-based model development is a big plus., 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

## Description

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., * 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.


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