Job Description:
- Develop machine learning models utilizing the latest NLP technologies to address various complex challenges Buyer/Shop/Seller/ Agent-side chat systems and reduce operational costs.
- Research and develop semantic search and recommendation, user intention recognition, multimodal understanding, intelligent document QA, etc.
- Collaborate with other technical teams to support the development, evaluation, and improvement of pretrained dialogue models based on Large Language Models (LLM), optimize the reliability of generated dialogue results, and improve online inference efficiency.
- Collaborate with other technical, product, and business teams to integrate algorithmic solutions and enhance the service quality of Shopee customer service.
Requirements:
- Master's degree or above in Computer Science, Electronic Information Engineering, Mathematics, Statistics, or related fields.
- Experience in common machine learning algorithm frameworks and libraries such as TensorFlow, PyTorch, etc.
- At least 1 year of experience in NLP, Chatbot, recommendation & search, or other related algorithms.
- At least 1 year of experience in LLM technologies, including Prompt Engineering, Parameter Efficient FT, LLM Alignment, RAG, etc.
- Previous experience in developing and implementing LLM projects is preferred.
