Algorithm Engineer Intern, Recommendation (Summer/Fall 2026)

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/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field 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.