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Shopee
Algorithm Engineer Intern, Paid Ads - Brand & Live Ads (Jan - Jun 2025)
Posted on Nov. 26, 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 Paid Ads team was established in 2016 to provide an e-commerce advertising platform by relying on Shopee’s massive data. Our expertise covers data, high performance AI-based online services, distributed systems, machine learning algorithms, and ads business strategies. The team places a strong emphasis on technology and strives to achieve innovation.
Job Description:
- Enhance existing recall, pre-ranking, ranking, re-ranking modules in our large scale ads platform, and continuously improve ads quality
- Iterate ads core models, including but not limited to CTR/CVR, expand and optimize feature set, search and create new model architecture
- Focus on the research of cutting-edge LLM/Deep Learning models and apply to our production system to improve the ads performance.
Requirements:
- Final-year or Penultimate student currently pursuing a Bachelor’s degree in computer science, computer engineering or any related fields
- Familiar with at least one of the following programming languages, C++/golang/Python, has good knowledge of data structure and algorithm
- Have understanding in machine learning and deep learning theory, publications in machine learning and data mining or related conferences is a bonus
- Sensitive to data and business, passionate about technical challenges, have excellent critical thinking skills
- Be familiar with big data processing tools, have experience with one or more of the following tools: Hadoop, Spark, Hive and Flink etc.
- Effective team player and has good communication skills
- Proactive and self-motivated
- 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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