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Overview: Optimize the recommendation quality and user profile on the Mi.com website to provide users the best shopping experience; combine your understanding of product objectives with modern machine learning, NLP and multimodal techniques to improve recommendation result metrics; work with product teams and engineers to deliver features that drive experience optimization of products.
Responsibilities:
Optimize the recommendation quality and user profile on the Mi.com website to provide users the best shopping experience.
Combine understanding of product objectives with modern machine learning, NLP and multimodal techniques to improve recommendation result metrics.
Collaborate with product managers, data scientists and other engineers to deliver features that drive experience optimization of products.
Qualifications:
At least 1 year of hands-on experience in recommender systems, with a solid understanding of system architecture and core components (e.g., recall, ranking, re-ranking, exploration, cold start).
Bachelor degree or above in computer science or a related technical discipline.
Proficient coding skills and strong algorithm & data structure foundation in Java/Scala.
Practical experience in one or more related areas such as NLP, Ads, Search, or Machine Learning.
Effective communication and teamwork skills; proficiency in Mandarin is a plus, as the role involves collaboration with teams based in China.
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Internet Marketplace Platforms
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