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Algorithm Engineer
4 weeks ago
The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.
About the Team:The search and Recommendation team is responsible for the search and recommendation of products, stores and content in all Shopee markets around the world. Our main mission is to support the company's business development needs and continue to empower its rapid growth. In the Search and Recommendation team, you have the opportunity to participate in the construction of full-stack search or recommendation systems and algorithm development, including but not limited to the application of large-scale deep neural networks in e-commerce, e-commerce user behavior modeling, representation learning, graph learning, transfer learning etc. We hope to invite young talent who are passionate about technology and self-motivated tol join us. Together, we continue to innovate and bring the best service to our customers around the globe.
Job Description: 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. Requirements: Bachelor degree or above 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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