Senior Algorithm Engineer – Recommendation System (Customer Service Chatbot)

Shopee; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading e-commerce platform in Singapore is seeking a skilled professional to design and develop intelligent chatbot systems. This role will focus on enhancing customer service through advanced AI technologies, requiring a Master’s degree in a related field and strong experience in recommendation systems. Successful candidates will work with cross-functional teams to implement cutting-edge solutions in a dynamic environment.

Qualifications

• Master’s degree or above in Computer Science, Artificial Intelligence, or a related discipline.
• Solid experience with end-to-end recommendation systems architecture.
• Familiar with mainstream recommendation models and LLM-based models.
• Proficient in Python and experienced with deep learning frameworks.
• Experience in training large language models using SFT or RL.

Responsibilities

• Design and develop chatbot’s intent recommendation and to-agent smart system.
• Model users' CS behavior based on interaction data.
• Collaborate across teams for chatbot integration and deployment.
• Stay updated on recommendation technology advancements.

Skills

Analytical skills

Problem-solving

Proficiency in Python

Experience with LLMs

Familiarity with recommendation models

Education

Master’s degree in Computer Science or related discipline

Tools

PyTorch

TensorFlow

Job description

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.