职位描述:
Job Description:
1.Optimize the recommendation quality and user profile in Mi.com website, provide users the best shopping experience;
2.Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the recommendation result metrics;
3.Work with products and DAs, and other engineers to deliver features to drive the experience optimization of products.
职位要求:
Job Requirements:
1. At least 5 years of hands-on experience in recommender systems, with solid understanding of system architecture and core components (e.g., recall, ranking, re-ranking, exploration, cold start);
1.Bachelor degree or above in the field of computer science or a related technical discipline;
2.Proficient coding skills and strong algorithm & data structure basis in Java/Scala;
3.Practical experience in one or more related areas such as NLP, Ads, Search, or Machine Learning;
4.Effective communication and teamwork skills, proficiency in mandarin is a plus, as the role involves collaboration with teams based in China.
招聘部门:
小米
工作地点:
新加坡 ID:A178330
面试建议:
小米正在寻找一名经验丰富的机器学习工程师,专注于提升推荐系统的质量和用户体验。这个职位不仅要求你具备扎实的推荐系统知识,还需要你能够结合NLP和多模态技术来优化推荐结果。面试官很可能会深入考察你在推荐系统各个核心组件(如召回、排序、重排序)中的实战经验,以及你如何利用现代机器学习技术解决实际问题。 为了在面试中脱颖而出,你需要准备具体的项目案例,展示你如何通过算法优化提升推荐效果。同时,由于这个职位需要与中国团队紧密合作,沟通能力也是一个关键考察点。建议你提前复习推荐系统的基础知识,并准备好用Java或 Scala 解释你的代码实现。如果你有NLP或多模态技术的经验,一定要重点突出这些技能,因为它们在这个职位中尤为重要。
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