Algorithm Engineer Intern (Global Live - Strategy) - 2027 Start (PhD)
Core
Build prediction/uplift NN models and data-driven strategies to optimize LIVE revenue, user engagement, and feature intelligence for global live streamers and audiences.
Role type
PhD intern, strategy-level algorithm engineer (live streaming)
Builds
Real-time, high-performance distributed infrastructure for live streaming and model-driven optimization services
Domain
Live streaming, machine learning, big data
Deliverable
production ML models
Required skills
C/C++/Python development, Linux multi-threaded/multi-process, machine learning and deep learning algorithms (boost machine, DNN, reinforcement learning), probability statistics and numerical optimization, big data parallel processing (Flink, Spark, Hive)
Preferred skills
Large-scale recommend/advertising systems, risk control systems, LLM
Responsibilities
Optimize LIVE monetization business and serve the LIVE experience of billions of global users; Adopt cutting-edge machine learning models to scientifically model massive user behavior and consumption data; Deeply participate in product/business discussions to analyze user behavior patterns and provide optimization directions
Seniority
Intern, PhD level
