Description
The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.
About the Team:
We are looking for a highly skilled and passionate engineer to join us in building the next generation intelligent customer-service dialogue system
You will be working on a core product that serves hundreds of millions of users. CSBot connects buyers, sellers, and customer service agents, enabling smart understanding and multi-turn conversations to efficiently resolve inquiries related to product questions, orders, logistics, and after-sales issues. Our goal is to significantly improve service efficiency and deliver a faster, more accurate support experience.
Job Description:
- Develop and maintain e-commerce products and services based on search and LLM.
- From a comprehensive engineering perspective, troubleshoot and resolve model performance and scalability issues.
- Collaborate with cross-functional teams to design and implement new features.
- Optimize various services to enhance link performance.
- Write clean, maintainable, and efficient code.
Requirements:
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
- 2+ years of relevant work experience.
- Proficiency in at least Golang or Python programming languages.
- Understanding with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork skills.
- Preferred experience in large language model or search domains, application and architecture
- Experience with deploying and scaling machine learning models in a production environment.
- Familiarity with data engineering