AI/ML/Algorithm Engineer (Recommendation System)

Job ResponsibilitiesBe responsible for the architecture design and core algorithm development of the personalized recommendation system for the healthcare content platform.Build intelligent diagnostic and therapeutic content recommendation and knowledge association modules for AI-assisted tools for doctors.Design and implement multi-objective recommendation algorithms (content quality, relevance, diversity, timeliness) tailored to medical scenarios.Analyze user (doctors, patients) behavioral data to construct accurate user profiles and interest models.Establish a multi-dimensional content understanding system for medical content (articles, cases, drugs, guidelines, etc.).QualificationsMasterʼs degree or higher in Computer Science, Mathematics, Statistics, or a related field, with at least 3 years of experience in recommendation algorithms.Proficient in machine learning/deep learning theories, with practical experience in large-scale recommendation systems.Skilled in Python and proficient in using deep learning frameworks such as TensorFlow/PyTorch.Familiar with common recommendation algorithms (collaborative filtering, matrix factorization, deep learning recommendation models, etc.).Familiar with natural language processing techniques, with experience in text representation and content understanding.Familiar with big data processing tools such as Spark/Hadoop and experienced in handling massive data.Experience in recommendation systems within healthcare, education, content platforms, or related fields is preferred.Familiarity with medical ontologies and medical knowledge graphs, with relevant application experience, is preferred.