Algorithm Engineer, Anti-fraud (Campus Recruitment 2026)
Job Description
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.
- Innovation & Learning: Stay updated on the latest advances in anomaly detection, reinforcement learning, and large-scale AI models, and explore ways to apply them.
Requirements:
- Bachelor'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 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.
More Info
About Company
Shopee Pte. Ltd. is a Singaporean multinational technology company that specialises in e-commerce. The company was launched in Singapore in 2015, before it expanded abroad. As of 2021, Shopee is considered the largest e-commerce platform in Southeast Asia with 343 million monthly visitors.
Skills:
Nlp, prompt engineering, memory sharing, vLLM, SGLang inference architectures, agent orchestration, task decomposition, deep-learning