About The Team
The Shopee E-commerce Anti-fraud Algorithm Team is dedicated to enhancing user experience by preventing risks such as low-quality products and fraudulent transactions across search, recommendation, and advertisement scenarios. We are committed to building an industry-leading risk control system that leverages cutting-edge technologies, large-scale deep learning, and emerging AI models.
If you are passionate about e-commerce and risk control, we welcome you to join us in developing advanced anti-fraud algorithms that protect our users and sellers while driving sustainable business growth.
Job Description
As an Anti-fraud Algorithm Engineer, you will:
- Algorithm Development: Assist in designing and developing algorithms to identify fraud and abnormal transactions, ensuring user and merchant protection.
- Model Optimization: Support exploration and optimization of risk control models to improve accuracy, recall, and scalability.
- Data Analysis: Analyze transaction data, user behavior, and product/merchant information using anomaly detection and machine learning techniques.
- Risk Monitoring: Contribute to building monitoring systems to quickly detect and address risks in real time.
- Stay updated on advancements in LLMs, generative AI, anomaly detection, and reinforcement learning, and explore practical applications in anti-fraud systems.
Requirements
- Master's degree or above in Computer Science, AI, Data Science, or related field
- Strong programming skills; proficient in Python, C++, or similar languages.
- Solid understanding of data structures, algorithms, and basic machine learning principles.
- Familiarity with multi-modal tasks (OCR, CLIP, VLM, video understanding, etc.)
- Internship or some exposure to multi-modal large models is a plus.
- Familiarity with at least one deep learning framework (e.g., TensorFlow, PyTorch, MXNet) is a plus.
- Passion for applying algorithms to solve real-world risk control problems in e-commerce.
- Detail-oriented, quick learner, and strong sense of ownership.
- Good teamwork and communication skills.
- Interest in applying LLMs / AI to real-world risk control and fraud detection problems
