【内推】lazada AI招算法工程师
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作者:还没有想好昵称 (等级:2 - 初出茅庐,发帖:17) 发表:2020-02-26 10:46:17  楼主  关注此帖
【内推】lazada AI招算法工程师
新成立的AI部门,end to end负责lazada全域的搜索/推荐/广告。大量招人。(发不了邮箱链接,站内我简历或者站内回邮箱地址)
Job Description
Lazada AI Team is a new team made up of our experts in Search, Recommendation and advertising algorithms which aims to create a world-class engine for Lazada. As an Algorithm Engineer of AI team, you will be applying different techniques such as deep learning, reinforcement learning, natural language processing and operational research to solve real world problems.

You will be:
1. Responsible for online recommendation frameworks and algorithms for PDP & Post-purchase recommendation scenarios objective to improve CTR, guided GMV, and user mental.
2. Responsible for campaign operation algorithms for deal hunting, item sold prediction, CTR & GMV optimization, traffic allocation.
3. Responsible for Feeds/LiveStreaming/Short Video recommendation scenarios objective to improve DAU share, CTR & Interactive rate & Stay time, User Experience(Quality & Diversity).
Job Requirements
1. At least two years relevant working experience;
2. Masters or PhD degree in computer science, operations research, statistics, mathematics, or equivalent fields;
3. Solid theoretical foundations and industry experiences in machine learning(Online Learning, Deep Learning, Multi-task learning, MultiModal Machine Learning, Reinforcement learning are preferred), image/video content understanding & processing, personalized search & recommendation, user/seller behavior modeling, sales prediction, knowledge graph and representation, large scale data analysis/platforms;
4. Experience in machine learning libraries such as Tensorflow, Keras, Theano, etc;
5. Solid programming skills in SQL, Java, Python;
6. Passionate about technology, demonstrate ability to generate new ideas and innovations; excellent in self-learning, problem analyzing and solving; work independently, proactive, strong teamwork spirit;
7. Good communication skills in English.
8. Candidates who have published top conference papers will stand an advantage.
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