Algorithm Engineer Intern, Chatbot

1 week ago

Singapore Shopee Full time

Department Engineering and Technology
- LevelInternship
- LocationSingapore

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**:

- Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa.

Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied.
- They have successfully developed and deployed an efficient LLM-based chatbot system across multiple markets, significantly improving service quality and response efficiency. In the next phase, the team will further explore Agentic Workflow-centric system architectures to evolve from traditional Question Answering to intelligent Agents capable of autonomous planning and execution, delivering more natural, intelligent, and efficient conversational experiences.
- You will be involved in or lead the design and development of core algorithms for our chatbot systems, including but not limited to:

- Prompt engineering and response optimization
- Supervised fine-tuning (SFT) and alignment of LLMs
- Multi-turn dialogue context modeling and state tracking
- Agentic dialogue systems driven by workflow execution
- Retrieval-Augmented Generation (RAG) for Question Answering
- Reward model design and strategy optimization via reinforcement learning
- Agent framework design and implementation
- You will also work closely with product, business, operations, and engineering teams, participating throughout the full lifecycle—from problem definition and solution design to deployment and iteration—to ensure the effective and continuous improvement of algorithm solutions.

**Requirements**:

- Final-year or Penultimate student currently pursuing a Bachelor’s degree in computer science, computer engineering or any related fields
- Master degree or above in computer science, computational linguistics and other related majors
- Have excellent coding skills, hands-on online code development experience, and proficiency in at least one language among C++/Golang/Python/Java
- Strong foundation in computer science, algorithms, and data structures
- Familiar with the theory and implementation of mainstream models in at least one of the following areas: NLP, LLMs, RL, Agent systems, or Multimodality
- Experience with at least one deep learning framework (e.g., PyTorch, TensorFlow)
- Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress
- Full-time interns preferred (6 months)
- Part-time interns who can commit at least 3 working days a week are also welcome to apply

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