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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.
Job ID: 153582309
Skills:
Java, Nlp, Recommender Systems, Machine Learning, Python, Ads, ranking, Search Engine
Skills:
Machine Learning, Databricks, versioning, Feature Engineering, Model Training, Low-Latency Inference, Job Orchestration, Monitoring
Skills:
Predictive Modeling, Machine Learning, Python, Sql, Statistics, Experimental Design
Skills:
Machine Learning, Apis, Natural Language Processing, MLops, Computer Vision, Gcp, Pytorch, Containers, Azure, AWS, LangChain, experiment tracking, orchestration tools, scikit-learn, generative AI, model versioning, AI systems, ML pipelines, large-scale data systems, data processing tools, automated retraining
Skills:
Tensorflow, Machine Learning, Pytorch, Python, Transformers