Algorithm Engineer Intern, Search NLP (Aug-Dec 2025)

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:

We are looking for highly motivated NLP Algorithm Interns to join the Shopee Search team.

You will have the opportunity to explore the integration of Large Language Models (LLMs) with search algorithms, working on cutting-edge topics such as AI-powered search, query understanding, semantic and multimodal retrieval, and search relevance optimization.

Guided by experienced mentors, you will apply research outcomes to real-world e-commerce search scenarios serving hundreds of millions of users.

This is a fast-growing opportunity to learn how state-of-the-art NLP and LLM technologies can solve real business problems and potentially deliver high-impact results during your internship.

We welcome passionate, self-driven individuals to join us in innovating and shaping the future of global search.

Job Description:

• Research and develop LLM applications in e-commerce search, including AI-powered search, relevance modeling, LLM-based retrieval, and multimodal solutions.
  
  
• Assist in algorithm experiments and performance evaluations to validate LLM effectiveness in real-world search scenarios.
  
  
• Learn and contribute to LLM optimization and deployment, including inference optimization and model distillation.
  
  
• Stay updated on the latest research in NLP and LLMs, and actively contribute to team discussions and innovations.
  
  

Requirements:

• Bachelor's degree or above in Computer Science, Machine Learning, Statistics, Pattern Recognition, or related fields.
  
  
• Able to commit at least 3 months.
  
  
• Strong foundation in machine learning and NLP (e.g., Transformer, BERT).
  
  
• Proficiency in Python and familiarity with at least one deep learning framework (PyTorch/TensorFlow).
  
  
• Hands-on experience in model training or experimentation.
  
  
• Strong interest in LLMs and search-related applications, fast learner, and independent thinker.
  
  
• Preferred (Nice-to-Have): Achievements in AI/NLP competitions (e.g., Kaggle, Tianchi), or experience in research publications or open-source projects.