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Shopee

Singapore / Global

Algorithm Engineer, Paid Ads

Job Description

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.

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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