ons will be reviewed on a rolling basis - we encourage you to apply early.
Successful candidates must be able to commit to at least 3 months long internship period.
Responsibilities
- Support the local video service business to enhance user discovery of life services such as hospitality, dining, and leisure.
- Improve the search experience in local services and promote ecosystem growth.
- Utilize large-scale machine learning techniques in search and recommendation scenarios with billions of users to: Improve user shopping experiences & Enhance conversion efficiency.
Qualifications
Minimum Qualifications:
- Undergraduate or Postgraduate currently pursuing a Degree/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Proficient coding skills and strong algorithm & data structure using C++/Python/Java.
- Have a solid knowledge of machine learning and practical experience in applying it.
Preferred Qualifications:
- Effective communication and teamwork skills.
- Modeling experience in one or more of the following areas: Ads, Search engine, Recommender System, NLP/CV.
- Have a solid foundation in algorithms related to LLMs, including but not limited to comprehensive learning and practical experience in areas such as single-modal/multi-modal LLM application and deployment.
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If you have any questions, please reach out to us at [email protected]