Algorithm Engineer, Recommendation

1 week ago

Singapore Shopee Full time

Overview Algorithm Engineer, Recommendation (Campus Recruitment 2026) at Shopee. Join to apply for the Algorithm Engineer, Recommendation (Campus Recruitment 2026) role at Shopee. About The Team The Shopee E-commerce Recommendation Algorithm Team is dedicated to enhancing the user experience across all recommendation scenarios, supporting a rapidly growing user and product base. Our mission is to build a world-class recommender system using cutting-edge technologies, driving continuous performance improvements, and exploring best practices for large-scale deep neural network-based systems. If you are passionate about e-commerce, data, and recommender systems, we welcome you to join us and help shape the next-generation recommendation platform for millions of users. Job Description As an Algorithm Engineer, you will: Algorithm Development: Contribute to the design and development of innovative recommendation algorithms to improve user experience and conversion rates. Model Optimization: Assist in optimizing models to enhance efficiency, accuracy, and scalability. Data Analysis: Analyze user behavior data to uncover patterns and improve recommendation performance. Business Alignment: Translate business goals into algorithmic solutions that deliver measurable impact. Learning & Innovation: Stay updated on the latest research and trends in recommender systems, and apply new methods where appropriate. Requirements Bachelor’s degree or above in Computer Science, Artificial Intelligence, Data Science, or a related field (graduating from December 2025 to May 2026). Strong programming skills, with proficiency in Python or C++ preferred. Solid understanding of data structures, algorithms, and basic machine learning principles. Familiarity with at least one deep learning framework (e.g., TensorFlow, PyTorch, MXNet) is a plus. Passion for recommender systems, data-driven problem solving, and continuous learning. Strong communication and teamwork skills; able to collaborate in a fast-paced environment. Seniority level Entry level Employment type Full-time Job function Information Technology Industries Software Development Internet Marketplace Platforms Technology, Information and Internet Referrals increase your chances of interviewing at Shopee by 2x #J-18808-Ljbffr

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