Department Engineering and Technology
LevelEntry Level
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:
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.
- Optimize ads bidding, deduction and traffic allocation strategies to create better ads bidding mechanism and increase ads monetisation efficiency.
- Focus on the research of search, recommendation and ads to apply relevant strategies and adapt to our platform for implementation in our production system.
Requirements:
- Bachelor's Degree or above in Computer Science or a related field, graduating from December 2025 to May 2026.
- Deep 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.
- Preferred to have Ads algorithm internship experience.
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