Machine Learning & Applied Data Science Intern - Search (Spring/Summer 2026)

About The Team
The Shopee Search Team builds large-scale, high-performance retrieval, ranking, and relevance systems that power core user experiences across the Shopee platform. As an intern, you will work alongside senior applied scientists and engineers to design, implement, and evaluate cutting-edge machine learning models that directly impact search relevance, user engagement, and platform GMV.
This role is ideal for candidates passionate about machine learning, large-scale systems, and solving real-world search and recommendation problems using data-driven approaches.
Job Description
I. Machine Learning Research & Development

• Develop and experiment with models, including deep learning ranking models, transformer-based architectures, and large-model-enhanced retrieval or reranking methods.
• Explore innovative approaches such as generative ranking, multi-task learning, sequence modeling, and vector-based retrieval.