Tech Lead, 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 - What You'Il Do Lead the whole Search E-commerce business in one or more of the following core directions: . 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, pre-rank, rank and mixed rank): Use massive behavioral data to deeply model users personalized shopping interests. 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 merchant/seller, 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. . Monitor the results and quality of the different software solutions and projects implemented in the organisation.

Minimum Qualifications . 5+ years of industry work experience in one or more of the related fields: NLP, Ranking, Ads, Search Engine, Recommendation systems, and Machine Learning. . Solid technical skills: 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. . Team management experience is a plus.