Algorithm Engineer, Paid Ads - Brand & Live Ads (Campus Recruitment 2025)
Salary undisclosed
Checking job availability...
Original
Simplified
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
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, billing 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
- Bachelor’s degree or higher in Computer Science or a related field
- Familiar with at least one of the following programming languages, C++/Golang/Python, has good knowledge of data structure and algorithm
- 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
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
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, billing 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
- Bachelor’s degree or higher in Computer Science or a related field
- Familiar with at least one of the following programming languages, C++/Golang/Python, has good knowledge of data structure and algorithm
- 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
About Shopee
| Size | More than 5000 |
| Industry | Broadline Retail |
| Location | Singapore |
| Founded | 5 February 2015 |