Algorithm Engineer Intern, Marketplace Intelligence & Data - Promotion Intelligence (Summer 2026)
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About the Role
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.
- 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.
- 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.
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