Algorithm Engineer, Marketplace Intelligence

Algorithm Engineer, Marketplace Intelligence & Data - Promotion Intelligence (Campus Recruitment 2026)
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Algorithm Engineer, Marketplace Intelligence & Data - Promotion Intelligence (Campus Recruitment 2026)
role at
Shopee
Algorithm Engineer, Marketplace Intelligence & Data - Promotion Intelligence (Campus Recruitment 2026)
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Join to apply for the
Algorithm Engineer, Marketplace Intelligence & Data - Promotion Intelligence (Campus Recruitment 2026)
role at
Shopee
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About The Team
Shopee will be prioritizing applicants who have a
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 Marketplace Intelligence and Data team's mission is to build sustainable and efficient data and intelligence products to facilitate Shopee's business development. The team is responsible for Shopee e-commerce data warehouse construction, merchant and operation data product construction, all-link traffic data, product algorithms, including product release, control, information optimization, SPU library and its comparison business, marketing algorithms, including Merchandising, Product Selection, Recommendation Algorithm, Evaluation Algorithms, User Profiling, and in addition, basic AI capabilities, such as Machine Translation, Speech Algorithm, Image Algorithm, and Real-person Authentication.
Job Description
Work closely with the promotion product team, business partners, and internal stakeholders to identify marketplace growth challenges, uncover actionable insights, and deliver practical, scalable solutions based on large-scale user and product data.
Drive the development and optimization of smart marketing dispatching strategies across various campaign scenarios by leveraging advanced deep learning, causal inference, and operations research techniques.
Collaborate with product and engineering teams to design and build end-to-end machine learning pipelines to power data-driven decision-making for promotions and campaign planning.
Work on core solutions related to personalized recommendations, promotion and voucher configuration optimization, campaign budget planning, and product demand forecasting.
Develop, iterate, and maintain machine learning models, including those based on deep learning, reinforcement learning, and multi-armed bandit frameworks, applied in areas such as recommendation, search, and ads ranking.
Conduct rigorous online and offline evaluations, including A/B testing, to ensure model effectiveness and business impact.
Requirements
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, Biostatistics or other fields related to data mining preferred.
Proficient in at least one programming language (e.g., Python, Golang, Scala) and Unix/Linux system and comfortable working with large datasets and conducting complex data analysis using SQL, Python or R.
Knowledge in optimisation, classical machine learning (classification, regression, clustering, etc), deep learning, reinforcement learning.
Experience in Tensorflow/Pytorch machine learning framework, distributed data processing framework (e.g., Hadoop, Spark) and conducting production environment A/B test.
Good communication skills with demonstrated ability to deliver and explain technical content to stakeholders.
Teamwork mindset and ability to work closely with cross-functional team.
Excellent English language skills in listening, speaking, reading, and writing.
Seniority level
Seniority level Entry level
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries Software Development, Internet Marketplace Platforms, and Technology, Information and Internet
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