Algorithm Engineer Intern - Search & Recommendation (Summer 2024)

  • Singapore
  • Training
  • Full-time
  • 1 month ago
Job Description :
  • Develop and implement state-of-the-art machine learning models to optimize retrieval and relevance modules in e-commerce search including the application of text classification, semantic-based relevance models, multi-modal and multi-lingual models, large language models, etc.
  • Responsible for optimizing query understanding in e-commerce search scenarios, including query rewriting, auto-correction, query structured understanding, intent classification, etc.
  • Perform fundamental research and experiment with cutting-edge NLP technologies including LLM, multi-modal pre-training models, etc.
Requirements :
  • Current student studying Computer Science, Computer Engineering, or other relevant majors who is expected to graduate in 2025.
  • Be familiar with at least one of the following programming languages, C++/golang/Python, has good knowledge of data structure and algorithm
  • Be familiar with NLP and Search retrieval projects
  • Sensitive to data and business, passionate about technical challenges, and have excellent critical thinking skills
  • Effective team player and has good communication skills
About the Team :The search and Recommendation team is responsible for the search and recommendation of products, stores, and content in all Shopee markets worldwide. Our main mission is to support the company's business development needs and continue to empower its rapid growth. The specific work of the team includes: Improving user search experience and efficiency by building and improving relevance and query/product understanding capabilities in the e-commerce domain. The team places a strong emphasis on technology and strives to achieve innovation.

Shopee