Expert Algorithm Engineer

3 days ago


Singapore Shopee Full time

Department Engineering and Technology - LevelExperienced (Individual Contributor) - LocationSingapore 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**: **About the Team**: The Shopee E-commerce recommendation team is dedicated to enhancing user experience across all recommendation scenarios amidst a continuously growing user base and product catalog. Our unwavering commitment lies in crafting a world-class recommendation system that leverages cutting-edge technology to drive improved recommendation outcomes. We constantly explore the finest practices in large-scale deep neural network recommendation systems. If you share our passion for e-commerce and recommendation systems, we invite you to join us in developing an unparalleled e-commerce recommendation engine. - Design and develop cutting-edge recommendation algorithms tailored to various e-commerce contexts, aimed at enhancing user experience and driving higher conversion rates. - Continuously refine and optimize existing models in areas such as recall, coarse sorting, fine sorting, and re-sorting to enhance their efficiency, precision, and scalability. - Perform in-depth analysis of user behavior data to uncover insights into user preferences, leveraging these insights to improve the performance and effectiveness of recommendation systems. - Collaborate closely with business teams to understand key objectives and design algorithms that directly support and drive business goals. - Stay updated on the latest developments in recommendation systems and related technologies, exploring opportunities to incorporate state-of-the-art methods into existing systems. **Requirements**: **Requirements**: - Bachelor’s Degree or above in Computer Science, Machine Learning or a related field. - Minimum 4 years of relevant work experience in Search/Ranking/Recommendation algorithms. - Experience in using deep learning frameworks such as TensorFlow /Caffe/ MXNet/ PyTorch. - Experience working with high traffic and complex systems. - Good team spirit, strong communication skills and strong self-driving force. - Enthusiastic with a strong sense of accountability and commitment to delivering results. - Demonstrated experience working effectively in cross-functional teams.


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