Senior Recommendation Algorithm Engineer - International Short Video Local Life

1. Responsible for the international short video life service recommendation algorithm, and jointly build the industry-leading recommendation system 2. Deeply understand the machine learning/deep learning algorithms related to short video/live broadcast/geographic location/product recommendations, optimize models/strategies, and continuously improve recommendation effects 3. Deeply understand the life service business, and explore the algorithm highlights from the business characteristics of in-store, takeaway, hotel and travel, etc. 4. Deeply understand user behavior, combine data mining and other technologies to optimize user creation and browsing experience.

1. Bachelor degree or above, computer-related major 2. Excellent coding ability, solid data structure and algorithm foundation 3. Passionate about recommendation algorithms and machine learning, willing to learn, think and innovate 4. Excellent problem analysis and problem-solving skills, good communication skills and team spirit 5. Familiar with the basic knowledge of machine learning, experience in recommendation systems, computational advertising, search engines and other fields is preferred.