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

Position Algorithm Engineer Intern, Search NLP (Aug-Dec 2025)
Posted 2025 August 27
Expired 2025 September 26
Company Shopee
Location Singapore | SG
Job Type Full Time

Job Description:

Latest job information from Shopee for the position of Algorithm Engineer Intern, Search NLP (Aug-Dec 2025). If the Algorithm Engineer Intern, Search NLP (Aug-Dec 2025) vacancy in Singapore matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Shopee for the position of Algorithm Engineer Intern, Search NLP (Aug-Dec 2025) below matches your qualifications.

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: 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.

Job Info:

  • Company: Shopee
  • Position: Algorithm Engineer Intern, Search NLP (Aug-Dec 2025)
  • Work Location: Singapore
  • Country: SG

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Algorithm Engineer Intern, Search NLP (Aug-Dec 2025) at the office Singapore above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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