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Shopee
Algorithm Engineer Intern, Search Ranking (Jan - Jun 2025)
Posted on Nov. 27, 2024
- Singapore, Singapore
- 0 - 0 USD (yearly)
- Internship
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:
Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa.
Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied.
The search algorithm team is responsible for Shopee’s product search. Our main mission is to continuously build world class search algorithms and become a power engine for the company's sustainable growth. We welcome passionate and experienced talents to join us and serve our customers from all over the world.
Job Description:
- Responsible for building search ranking algorithms, including coarse ranking, precise ranking, re-ranking and other algorithms
- Build and optimize Learning-To-Rank framework, improve Click-through rate/Conversion rate and overall ranking models using machine learning and deep learning techniques to enhance search quality
- Build real-time personalized search models using real-time personalized features to provide a high-quality personalized search experience
- Explore the application of reinforcement learning techniques in search, and dynamically and continuously optimize the ranking strategy based on user feedback
- Continuously review and create innovative methods to improve existing search systems for a faster and more accurate search engine
Requirements:
- Final-year or Penultimate student currently pursuing a Bachelor’s degree in computer science, computer engineering or any related fields
- Master degree or above in computer science, computational linguistics and other related majors
- Be familiar with at least one of the following programming languages, C++/golang/Python, and have good knowledge of data structure and algorithms.
- Have excellent coding skills, hands-on online code development experience, and proficiency in at least one language among C++/Golang/Python/Java
- Applicants good at data analysis using Spark SQL/Scala are preferred.
- Sensitive to data and business, passionate about technical challenges, and have excellent critical thinking skills.
- Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.
- Full-time interns preferred (6 months)
- Part-time interns who can commit at least 3 working days a week are also welcome to apply
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