Team introduction

Launched in 2012, Lazada Group has grown rapidly to include over 4.900 full-time employees in the region, with eCommerce operations in Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam and a sourcing center in China that drives cross-border marketplace activities, Lazada helps more than 80,000 local and international sellers as well as 2,500 brands serve the 560 million consumers in the region through its marketplace platform, supported by a wide range of tailored marketing, data, and service solutions. Lazada offers an excellent customer experience through a wide network of logistics partners and its own first- and last-mile delivery arm.Revolutionizing the way customers shop in Southeast Asia and perform online transactions across the region, Lazada has reached an online footprint of approximately 6 million unique daily visits to its websites, and the largest Facebook community in Southeast Asia with over 16.5 million fans. Lazada Group owns the biggest and the most efficient technology driven logistics and fulfilment ecosystem in the region – Lazada eLogistics. With 11 own warehouses, 5 sorting centers, 78 last-mile hubs we are ensuring 48 hours delivery of more than 6 million orders every month. Our warehouses cover more than 115 thousands of square miles and it takes less than 2 hours to process every order even during massive sales campaigns. Having our own cross-border operator helps us connect more than 100 million of customers and businesses from all over Asia. Our transportation is driven by our own Lazada Express delivery fleet which, together with more than 80 third-party logistics, guarantees high quality 48 hours delivery. All of that would be impossible without sophisticated IT systems, which are being developed and expanded in-house by one of the most experienced and agile tech teams in Southeast Asia!

Job description

1、Responsible for the in-depth study of technical directions such as Lazada shopping search engine query understanding and query-item relevance calculation, and promoted the successful application of relevant technologies in specific scenarios such as Lazada search2、Build user intent knowledge graph through the query understanding, item information and seller understanding. To better promote the user preferences prediction, population classification and personalized ranking through multi-objective learning, deep learning algorithms, such as real-time user perception model and user behavior knowledge graph

Job requirements

1. Have one of natural language processing / web search / smart question / answer / knowledge graph / semantic search / speech recognition / recommendation2. Solid machine learning, natural language processing, data mining theory, and in-depth research and accumulation in a certain direction;3. Have more than 3 years working background in Internet and big data, familiar with parallel computing development environment;4. Excellent programming skills, proficient in C++, JAVA or Python;5. bonus:Experience in a wide range of data mining, machine learning, search or recommendation systems, preferably with top-level papers or representative work products

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