- Be responsible for the research and development of search algorithms or recommendation algorithms for overseas e-commerce products, including but not limited to full-link optimization such as recall, ranking, re-rank, mix-ranking, and relevance.
- Deeply understand the machine learning technology and apply it into the e-commerce business scenarios. You will be working on algorithm modeling to optimize the search or recommendation strategies,and improve search and recommendation indicators on overall e-commerce goals.
- Optimize product performance and data performance through machine learning models and systems
- Understand and implement the research and implementation of cutting-edge AI algorithms.
- Master or Ph.D in computer-related majors, machine learning, statistics-related majors, pattern recognition-related majors are preferred
- Applicants who are familiar with common machine learning basics such as LR/GBDT/DNN, or familiar with the large-scale sparse feature modeling are preferred
- Good coding and code development capabilities, familiar with Linux, and proficient in any language such as C++/golang/python
- Be familiar with one or more machine learning fields including but not limited to NLP, CV, search, recommendation, advertising, etc., and continue to follow up on cutting-edge machine learning technologies
- Applicants good at data analysis using Spark SQL/Scala is preferred
- Applicants with experience in ACM-ICPC/TCO Algorithm or similar algorithm competitions are preferred
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