Algorithm Engineer Graduate (Global Live Operation Intelligence) - 2027 Start (PhD)
Core
Build and optimize real-time, high-performance, large-scale distributed infrastructure for live streaming using model-driven and data-driven ways to improve LIVE revenue, creator engagement, and content quality.
Role type
PhD-level algorithm engineer (live streaming intelligence)
Builds
Automated and intelligent operations for the LIVE supply end, anomaly detection systems, and real-time interaction features for global live streamers and audiences.
Domain
Live streaming, real-time data processing, machine learning
Deliverable
production ML models
Required skills
PhD in Computer Science or related discipline, machine learning and deep learning algorithms (DNN, NLP, CV), big data parallel processing (Flink, Spark, Hive), probability statistics, numerical optimization
Preferred skills
large-scale recommend/advertising systems, risk control systems, LLM
Technologies
Flink, Spark, Hive, DNN, NLP, CV
Responsibilities
Optimize ByteDance LIVE business to serve billions of global users, adopt cutting-edge ML models to improve business metrics, participate in product/business discussions to analyze user behavior patterns and provide optimization directions.
Seniority
Graduate (PhD), entry-level research engineer
