Engineering and Technology Team Overview:
At Shopee, the Engineering and Technology team is central to the development of our platform. Comprising passionate engineers from around the globe, we are dedicated to creating top-notch systems with the most suitable technologies. Our engineers go beyond solving immediate problems; we lay the groundwork for a sustainable future. We push boundaries and delve into the core of the computing platform to tackle challenges head-on. With Shopee's rapidly expanding business, we transform complex issues into technical opportunities, making it an ideal environment for those who share our enthusiasm for technology.
About the Team:
The Marketplace Intelligence and Data team is committed to developing sustainable and efficient data and intelligence products to drive Shopee’s business growth. Our responsibilities include building Shopee’s e-commerce data warehouse, constructing merchant and operation data products, managing all-link traffic data, and developing product algorithms such as release control, information optimization, SPU library management, and marketing algorithms. Our work spans across merchandising, product selection, recommendation systems, evaluation algorithms, user profiling, and fundamental AI capabilities including machine translation, speech algorithms, image algorithms, and real-person authentication.
The ItemQC team focuses on enhancing the quality of platform products by providing intelligence services to address listing violations, chat violations, and content violations. We aim to improve operational efficiency for QC review through extensive product violation detection, large-scale information mining, item similarity matching, and adversarial detection of prohibited products. Our goal is to meet government and partner requirements while enhancing the consumer shopping experience.
Job Description:
We are seeking an individual to apply natural language processing (NLP) algorithms in multi-language environments for e-commerce. Key responsibilities include:
- Implementing NLP algorithms for tasks such as information extraction, phrase mining, part-of-speech tagging, text classification, sentiment analysis, pre-training models, and graph embedding.
- Utilizing NLP and multi-modal models to support product release, optimization, management, and violation detection, thereby improving QC review efficiency.
- Exploring and integrating cutting-edge NLP technologies to enhance technical performance and outcomes.
Requirements:
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, or a related field.
- Proficiency in programming languages such as Python, Java, or C++, and experience with machine learning frameworks and libraries like TensorFlow and PyTorch.
- Strong background in NLP, chatbots, recommendation systems, search algorithms, or similar technologies.
- Excellent programming skills.
- Experience with e-commerce projects is a plus.
- Prior experience with LLM/VLM projects is preferred.
