Algorithm Engineer - Global Live - Recommendation Strategy (Singapore) Singapore Technology - Machine learning Regular
Core
Build prediction/uplift NN models to improve LIVE feature intelligence and optimize user experience for TikTok LIVE monetization.
Role type
Senior IC machine learning engineer (recommendation strategy)
Builds
High-performance/high-reliability architecture services for LIVE streamer and watcher experience
Domain
Social media, short-form video, live streaming
Deliverable
production ML models
Required skills
C/C++, Python, Linux multi-threaded/multi-process, machine learning, deep learning, reinforcement learning, probability statistics, numerical optimization, big data parallel processing
Preferred skills
large-scale recommend system, advertising system, search engine, game value strategy, e-commerce value strategy, user psychology research
Technologies
Flink, Spark, Hive, boost machine, dnn
Responsibilities
Build prediction/uplift NN models 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 optimization zoom; Participate in the optimization of TikTok LIVE monetization business; Adopt cutting-edge machine learning model to scientifically model massive user behaviour and consumption data; Deeply participate in product/business discussions, fully analyze and understand user behaviour patterns, and provide optimization directions for the overall business
