Algorithm Development: Design and develop innovative recommendation algorithms tailored to various e-commerce scenarios to enhance user experience and conversion rates.
Model Optimization: Continuously iterate and optimize existing models to improve efficiency, accuracy, and scalability.
Data Analysis: Conduct in-depth analysis of user behavior data to uncover user preferences and improve model effectiveness.
Business Insight: Understand business goals and design algorithmic solutions that align with and support these objectives.
Innovation & Trends: Stay up-to-date with the latest developments in recommender systems and related technologies, and explore opportunities to integrate state-of-the-art (SOTA) methods.
Requirements:
Bachelor's degree or above in Computer Science or a related field
Over 2 years of experience in search, recommendation, or advertising system
Strong coding skills familiar with Linux systems and proficient in C++ and/or Python
Solid foundation in machine learning theory familiar with common recommendation models experienced with deep learning frameworks such as TensorFlow, Caffe, MXNet, or PyTorch
Self-motivated, resilient under pressure, and eager to drive business breakthroughs.
