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
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.