Senior Anti-fraud Algorithm Engineer - Search, Recommendation and Ads

About the team

The Shopee e-commerce Anti-fraud team is dedicated to enhancing user experience, reducing traffic loss caused by low-quality products and orders to improve traffic value across all search, recommendation, advertisement scenarios amidst a continuously growing user base and product catalog. Our unwavering commitment lies in crafting a world-class anti-fraud system that leverages cutting-edge technology to drive improved anti-fraud technology ability. We constantly explore the finest practices in large-scale deep neural network systems. If you share our passion for e-commerce and anti-fraud systems, we invite you to join us in developing a highly efficient anti-fraud engine.

What you'll do

• Research and Develop Algorithms: Identify various fraud orders in e-commerce search and recommendation, design and develop effective risk control strategies and models to guarantee user experience and seller benefit.
• Model Optimisation: Explore, innovate, and optimise risk control models to improve precision, recall, and scalability.
• Data Analysis: Conduct in-depth analysis of business data, user behaviour data, and seller/item information, leveraging various anomaly detection methods for modelling.
• Business and Algorithm Integration: Align risk control strategies with advertising business objectives, establish a robust anomaly monitoring system, and quickly detect and address risks.
• Industry Trends Monitoring: Stay updated on the latest trends in risk control and anomaly detection technologies, exploring innovative algorithms.

Requirements

• Bachelor's degree or higher in Computer Science or a related field
• Minimum 2 years of work experience in AI engineering or anti-fraud systems.
• Hands on experience in applying or fine-tuning LLM, familiar with reinforcement learning, etc
• Excellent coding abilities
• Solid foundation in machine learning theory and familiar with common anti-fraud models, proficient in using deep learning frameworks, such as TensorFlow/Caffe/MXNet/PyTorch
• Detail-oriented, highly organised, and quick to learn.
• Strong communication and teamwork abilities.
• Self-motivated, resilient under pressure, and eager to drive business breakthroughs.