Job Description

Job Description: 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.

Excellent communication and teamwork skills

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Shopee

Senior Algo Engineer - E-commerce Recommendation Team

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Shopee