Responsibilities

📍Participate in the design, development, and optimization of the recommendation system to improve recommendation performance and user experience. 📍Research and apply technologies such as machine learning, data mining, and natural language processing to enhance recommendation algorithms. 📍Analyze user behavior data to uncover user needs and interests, and propose personalized recommendation strategies. 📍Assist with large-scale data processing and feature engineering to support the implementation of recommendation algorithms. 📍Collaborate closely with product and engineering teams to drive the iteration and innovation of the recommendation system. 📍Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Statistics, or a related field. 📍Familiar with common machine learning algorithms and recommendation system models such as collaborative filtering, matrix factorization, and deep learning. 📍Strong programming skills and proficiency in languages such as Python or Go. 📍Good understanding of data structures and algorithms, with the ability to write efficient code. 📍Some experience in deep learning frameworks like TensorFlow or PyTorch is a plus. 📍Good analytical and problem-solving skills, with the ability to learn new technologies quickly.

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