Algorithm Engineer, SRA - Promotion (2027 Graduate)
Core
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.
Role type
Algorithm Engineer (Promotion & Personalization)
Builds
Data-driven services for marketing campaigns, personalized e-commerce experiences, and promotion optimization
Domain
E-commerce, AI/ML, Recommender Systems
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Reinforcement Learning, Optimization, Large-scale Data Analysis, A/B Testing, LLMs, Agents
Preferred skills
Practical project experience with LLMs and agents
Technologies
Python, Golang, Scala, SQL, TensorFlow, PyTorch, Hadoop, Spark
Responsibilities
Design and build end-to-end machine learning pipelines to power data-driven decision-making for promotions and campaign planning. Develop, iterate, and maintain machine learning models including deep learning, reinforcement learning, and multi-armed bandit frameworks. Conduct rigorous online and offline evaluations, including A/B testing, to ensure model effectiveness and business impact.
Seniority
Entry-level (2027 Graduate)
