Antifraud Algorithm Engineer

2 days ago

Singapore Shopee Full time

DepartmentEngineering and Technology- LevelExperienced (Individual Contributor)- LocationSingaporeThe 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. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do. **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.** - ** Research and Develop Algorithms: Design, research, and develop innovative anti-fraud algorithms that cater to various e-commerce scenarios, driving better user experience and decreasing the loss caused by fraud action. Contribute to the production of scalable and optimized anti-fraud AI and ML models for identifying fraudulent behaviors in e-commerce.**: - ** Model Optimization: Continuously iterate and optimize the performance of models, ensuring accuracy and scalability**: - ** Data Analysis: Deeply analyze user behavior data and item info data to gain insights into fraud pattern, and enhance the effectiveness of the models**: - ** Business and Algorithm Integration: Understand the business objectives and design algorithms to achieve the goal**: - ** Industry Trends Monitoring: Stay abreast of the latest trends in anti-fraud systems and relevant techniques, and explore opportunities to do Algorithm innovation** **Requirements**: - ** Bachelor's degree in Computer Science or the related field**: - ** 3+ years of work experience in AI engineering or anti-fraud**: - ** Excellent coding abilities, familiar with Linux, proficient in C++/Python**: - ** 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**: - ** Self-motivated, detail-oriented, fast learner and highly organised**: - ** Good communication and teamwork skills**: - ** Experience in the e-commerce domain is preferred

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