Senior Algorithm Engineer - Recommendation System (Customer Service Chatbot)
- Singapore
- Permanent
- Full-time
- Design and develop core components of the chatbot's intent recommendation and to-agent smart system, with emphasis on user behavior sequence modeling and causal inference to enhance recommendation accuracy and relevance with consideration of agent cost.
- Modeling user's CS behavior based on user profiles and historical interaction data in Shopee's e-commerce customer service ecosystem to accurately infer user's true intent.
- Collaborate with product managers, operations specialists, and backend engineers to ensure seamless integration and successful deployment chatbot recommendation systems.
- Stay up to date with advancements in recommendation technologies-including generative recommendation, retrieval-augmented generation (RAG), supervised fine-tuning (SFT) - and apply them to improve the chatbot's core capabilities.
- Master's degree or above in Computer Science, Artificial Intelligence, or a related discipline.
- Solid experience with the architecture and optimization of end-to-end recommendation systems, including retrieval, coarse ranking, fine ranking, and hybrid ranking stages.
- Familiarity with mainstream recommendation models (e.g., FM, DIN, DIEN, MMoE, SIM) as well as LLM-based generative recommendation models (e.g., HSTU, NoteLLM).
- Proficient in Python and experienced with deep learning frameworks such as PyTorch or TensorFlow.
- Strong analytical and problem-solving abilities, with a passion for building intelligent, user-centric products.
- Experience in training and fine-tuning large language models using techniques such as supervised fine-tuning (SFT) or reinforcement learning (RL).
- Prior experience developing or optimizing algorithms for large-scale recommendation, search, or advertising systems.
- Experience in chatbot algorithm development is a strong plus.