Algorithm Engineer Intern, Recommendation (Fall 2026)

Department Engineering and Technology

LevelInternship

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:

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.