Senior Algorithm Engineer – Recommendation System (Customer Service Chatbot)
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Senior Algorithm Engineer – Recommendation System (Customer Service Chatbot)
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Shopee
Senior Algorithm Engineer – Recommendation System (Customer Service Chatbot)
4 days ago Be among the first 25 applicants
Join to apply for the
Senior Algorithm Engineer – Recommendation System (Customer Service Chatbot)
role at
Shopee
About The Team
We are the Customer Service Chatbot team at Shopee Singapore, committed to developing multilingual, intelligent dialogue systems that serve a wide range of consumers and sellers.
Our focus lies in applying advanced AI technologies—including recommendation systems, Large Language Models (LLMs), autonomous agents, and reinforcement learning—to customer service scenarios, continuously enhancing interaction quality and user experience.
About The Team
We are the Customer Service Chatbot team at Shopee Singapore, committed to developing multilingual, intelligent dialogue systems that serve a wide range of consumers and sellers.
Our focus lies in applying advanced AI technologies—including recommendation systems, Large Language Models (LLMs), autonomous agents, and reinforcement learning—to customer service scenarios, continuously enhancing interaction quality and user experience.
Job Description
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.
Requirements
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.
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries Software Development, Internet Marketplace Platforms, and Technology, Information and Internet
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