Senior Anti-fraud Algorithm Engineer

4 days ago

Singapur, Singapore Shopee Full time

Senior Anti-fraud Algorithm Engineer - Search, Recommendation and Ads Join to apply for the Senior Anti-fraud Algorithm Engineer - Search, Recommendation and Ads role at Shopee 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. 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. Job Description 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 risk 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 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 breakthrough #J-18808-Ljbffr

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