Algorithm Engineer Graduate - Intelligent Multimedia Streaming Strategy - 2026 Start (BS/MS)

TikTok

  • San Jose, CA
  • Permanent
  • Full-time
  • 6 days ago
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.Team Introduction
The Experience team is responsible for optimizing app experience related to performance for TikTok users. This team collaborates with all teams in the video creation and consumption ecosystem to provide end-to-end optimization solutions.Responsibilities
1. Responsible for optimizing multiple adaptive strategies in live streaming/RTC scenarios for client-side (push/pull streaming), including performance adaptation, network adaptation, playback control adaptation, etc.
2. Responsible for optimizing multiple adaptive strategies in live streaming/RTC scenarios for server-side (transcoding), including dynamic transcoding, dynamic bitrate delivery strategies, dynamic traffic allocation strategies, etc.
3. Responsible for mapping and analyzing multiple QoS/QoE metrics in live streaming/RTC scenarios, building QoE models for different user groups, and continuously optimizing personalized strategies for live streaming.Qualifications:Minimum Qualifications
1. 1. Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
2. In-depth understanding of the fundamental architecture and implementation of live streaming/RTC systems; candidates with optimization experience in live streaming/RTC projects are preferred.
3. Proficient in C++/Python; candidates with deep expertise in machine learning, reinforcement learning, or causal inference technologies are preferred.Preferred Qualifications
1. Strong sense of responsibility, curiosity, and excellent collaboration and communication skills, with the ability to accurately abstract problems and prioritize in complex technical scenarios.
2. Experience with learning-based model development is a big plus.
3.Excellent problem solving, data analysis, communication, and team work skillsBy submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

TikTok