Machine Learning Engineer - Recommendation System

Company:
Location: Singapore

*** Mention DataYoshi when applying ***

Our team is responsible for developing Shopee's recommendation engine, to provide users with the ultimate e-commerce shopping experience. In our team, you have the opportunity to participate in development of a full-stack recommendation system and the development of machine learning algorithms, including but not limited to the large-scale deep neural networks in e-commerce, user behavior modeling, representation learning, graph learning, migration learning, etc. We hope you with strong curiosity and interested in overseas e-commerce, join us to develop a world-class e-commerce recommendation engine.

Job Description
Responsible for the research and development of personalized algorithms for e-commerce recommender system
Participate in the core systems and algorithms development including candidate recall, ranking, rerank and other core components of recommender system
Analyse product overall performance, finding improvement point bymachine learning approaches.

Requirements
Bachelor or Master in Computer Science, Machine Learning, Statistics, Pattern Recognition related majors
At least 1 year of Internet algorithm work experience, familiar with recommendation, search and other fields is preferred
Familiar with common machine learning basic knowledge such as LR/GBDT/DNN, familiar with large-scale sparse feature modeling is preferred
Excellent coding and code development ability, familiar with linux, proficient in any language of C++/golang/python
Experience in ACM / Topcoder Algorithm or similar algorithm competition is preferred.

Our team is responsible for developing Shopee's recommendation engine, to provide users with the ultimate e-commerce shopping experience. In our team, you have the opportunity to participate in development of a full-stack recommendation system and th

*** Mention DataYoshi when applying ***

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