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Algorithm Engineer, Ads; Campus

Job in Singapore, Singapore
Listing for: Shopee
Full Time position
Listed on 2025-10-08
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 SGD Yearly SGD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Algorithm Engineer, Paid Ads (Campus Recruitment 2026)
Overview

Algorithm Engineer, Paid Ads (Campus Recruitment 2026) at Shopee

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.

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

We are seeking a candidate to join our Paid Ads team to build and improve large-scale advertising platform modules and models.

Responsibilities include:

  • 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.
Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Software Development, Internet Marketplace Platforms, and Technology, Information and Internet
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