Algorithm Engineer Graduate (Global Live Operation Intelligence) - 2027 Start (PhD)

With the enormous growth of live streaming in recent years, our mission is to inspire real-time interactions and help live streamers connect to people from all corners of the globe. We are looking for passionate and talented engineers to join us to build and optimize a real-time, high-performance, large-scale distributed infrastructure for live streaming in TikTok. You will be deeply involved in the developmental lifecycle of critical product features and collaborate closely with product managers to deliver the best live streaming experience for all live streamers and audience alike.

Team Introduction The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.

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.

Responsibilities 1. Participate in the optimization of ByteDance LIVE business and serve the LIVE experience of billions of global users. 2. Adopt cutting-edge machine learning models to improve business metrics (LIVE revenue and LIVE content quality), and bring creators/operators the ultimate experience in LIVE business. 3. Deeply participate in product/business discussions, analyze and understand user behaviour patterns, and provide optimization directions for improvement.