Algorithm Engineer, Paid Ads (Campus Recruitment 2026)

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.