Machine Learning Engineer - Search E-Commerce

About the Team The Search E-Commerce team is responsible for the search algorithm for our rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly users around the world. Our mission is to build a world where "there is no hard-to-sell good-priced product in the world". Responsibilities - Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales. - Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. - Promote the development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV. - Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm. - Work with the relevant software platforms in which the models are deployed. Minimum Qualifications - Industry work experience in machine learning. Good product sense with a focus on user experience. - Bachelor or advanced degree in computer science or a related technical discipline. - Excellent coding skills. Solid knowledge of data structure and algorithms. - Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. Preferred Qualifications - Self-driven, able to deeply understand the business, adapt to rapid business changes, have good personal expression and communication skills, and be able to promote project implementation. - Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.