Algorithm Engineer Intern, Marketplace Intelligence & Data - Promotion Intelligence (Summer 2026)
Posted on Feb. 24, 2026 by Shopee
- Singapore, Singapore
- N/A
- Internship
Department Engineering and Technology
LevelInternship
LocationSingapore
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 mission of the Marketplace Intelligence team is to build sustainable and scalable data products to promote the business and mission of Shopee marketplace by analyzing massive item and user related data, producing reliable predictive business insights and data-driven services, maximizing the effectiveness of marketing campaigns as well as providing personalized e-commerce experiences based on all-round item profiling and user profiling data and information. The Promotion Intelligence team aims to utilise advanced AI technologies including recommendation systems, AI agents, causal inference and operations research to continuously improve Shopee campaign efficiency and customer experience.
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.
- Support the development and optimization of smart voucher 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.
- Apply cutting-edge AI technologies such as LLMs, Agents, and RL to improve efficiency of building e-commerce campaigns.
- 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:
- Currently pursuing a Bachelor’s degree / master degree or above in Computer Science, Engineering, Mathematics, Statistics, Biostatistics, or related fields.
- Proficiency in at least one programming language (e.g., Python, Golang, Scala) and Unix/Linux systems.
- Experience working with large datasets and complex data analysis using SQL, Python, or R.
- Knowledge of optimization, classical machine learning (classification, regression, clustering), deep learning, and reinforcement learning.
- Good understanding of LLMs and agents, having practical project experience is a plus.
- Experience with TensorFlow/PyTorch, distributed data processing frameworks (e.g., Hadoop, Spark).
- Good communication skills with ability to explain technical content to stakeholders.
- Teamwork mindset and ability to collaborate with cross-functional teams.
Advertised until:
March 26, 2026
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