Algorithm Strategy Engineer - Global LIVE

About the Role

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes:

• Build prediction/uplift NN model to improve LIVE feature intelligence;
• Mine and interfere potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;
• Make detailed analysis on user data and system data to find out user experience optimiaztion zoom;
• Other work like user growth strategy, cold-start strategy, etc.

Responsibilities

• Participate in the optimization of ByteDance LIVE monetization business and serve the LIVE experience of billions of global users;
• Adopt cutting-edge machine learning model to scientifically model massive user behaviour and consumption data, build high-performance/high-reliability architecture services, and bring users the ultimate experience in LIVE consumption;
• Deeply participate in product/business discussions, fully analyze and understand user behaviour patterns, and provide optimization directions for the overall business.

Qualifications

• Familiar with C/C++/ Python development, familiar with Linux multi-threaded /multi-process;
• Familiar with commonly used machine learning and deep learning algorithms, including but not limited to boost machine, dnn, reinforcement learning, etc.;
• Solid maths foundation, including probability statistics, numerical optimization, etc., sensitive to data, good at discovering, analyzing and solving problems from data;
• Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience;
• Experience in large-scale recommend system, advertising system, search engine is preferred;
• Experience in game value strategy, e-commerce value strategy, and user psychology research is preferred;
• Strong English ability is preferred.
• Minimum 3 years relevant work experience from a large-scale internet business.