Machine Learning Engineer - Feed E-Commerce

About the Team We Are the E-commerce Short Video & Live Recommendation Team. As pioneers reshaping global shopping experiences, we specialize in end-to-end optimization of short video recommendation systems across Europe, Southeast Asia, and Latin America. Our mission spans the full recommendation pipeline - from content supply, candidate retrieval, pre-ranking, ranking, blending to user experience refinement - building a culture-adaptive recommendation engine for our diverse markets. Breaking through traditional "product shelf" e-commerce paradigms, we reinvent recommendation systems for the short video era. Our team combines academic excellence from top global universities with industrial expertise in billion-DAU recommendation systems. By leveraging cutting-edge machine learning technologies, we create dynamic intelligent matching bridges between massive product catalogs and global users. We are committed to providing a personalized, proactive, and efficient consumption experience for users through live-stream e-commerce content by connecting them with exceptional sellers and high-quality products. Our team is responsible for developing innovative recommendation algorithms and techniques to enhance user engagement and satisfaction, effectively transforming creative ideas into business-impacting solutions. Responsibilities: - Design and apply machine learning algorithm and recommendation strategies to improve users' experience on e-commerce content, including videos and livestreams. - Understand ecosystem of e-commerce content and use algorithm and strategy to make it thrive. - Work with product and ops team to deliver features that drives growth of e-commerce content on our platform. - Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning Minimum Qualifications 1. Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience; 2. Solid experience with data structures and algorithms; 3. Software development experience through hands on coding in a general purpose programming language; 4. Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas; 5. Strong communication and teamwork skills; 6. Passion about technologies and solving challenging problems. Preferred Qualifications: 1. More than 3 years experience in the recommendation algorithm domain.