Growth Algorithm Engineer - Douyin Live

1. Design and develop large-scale causal models to support billion-user modeling requirements for multiple scenarios and multiple objectives, and optimize the retention and experience of entertainment live users 2. Design and develop incentive strategies, characterize the long-term impact of strategies on users, quantify the long-term gains of single incentives for users, optimize delivery and incentive strategies, and design incentive strategies under unbiased data and cost constraints 3. Research breakthroughs in algorithmic problems that incentivize business growth, including large-scale discrete feature deep learning, causal models, relational networks, operational optimization strategies and other research directions to empower business growth.

1. Have solid coding skills and machine learning theoretical foundation, good coding habits and document writing skills 2. Master the theoretical foundation of machine learning, familiar with classic algorithm models (GBDT/LR/FM/DNN, etc.) and related tool frameworks (Tensorflow/PyTorch, etc.) 3. Be proficient in using Hive/S estimation, causal inference, Uplift modeling, overall optimization and other projects with practical work experience is preferred 4. Excellent understanding, communication and teamwork skills, can quickly understand the business background, be sensitive to data, take data facts as a benchmark, and have a strong sense of responsibility.