Algorithm Engineer Intern, Search Guide (May - Dec 2025)

Shopee; Singapore; On-site; SGD 16,740 - 27,900; Full time

Job summary

Shopee's product search team in Singapore is seeking a dedicated intern to develop and optimize search algorithms aimed at improving users' shopping experiences. This role involves enhancing query-related recommendations and supporting the development of conversational systems powered by advanced LLM technologies.

Ideal candidates are final-year computer science students or graduates with strong programming skills in languages like C++, Go, or Python. Effective communication and a commitment to collaborative technological progress are essential for this position.

Qualifications

• Final-year or penultimate student pursuing a relevant degree.
• Excellent coding skills and proficiency in at least one mentioned programming language.
• Strong critical-thinking skills and a passion for technical challenges.

Responsibilities

• Enhance user experience with query-related recommendations in e-commerce search.
• Develop and optimize algorithms for query recommendations.
• Support development of guided conversational systems using LLM.

Skills

C++

Go

Python

Data structures and algorithms

Data analysis using Spark SQL

Collaboration skills

Education

Bachelor’s degree in computer science or related fields

Master’s degree in computer science or computational linguistics

Job description

About the Team

Shopee’s product search team is responsible for the company’s product search technology. The team builds and improves search algorithms to enable world‑class search experiences and drive sustainable growth.

We prioritize candidates with a current right to work in Singapore and who do not require visa sponsorship.

Job Description

• Responsible for query‑related recommendation scenarios in e‑commerce search, including dropdown recommendations, inline recommendations, trend recommendations, and interactive category navigation queries, continuously enhancing the user‑guided shopping experience.
• Develop and optimize recall algorithms, ranking algorithms, and traffic‑control algorithms for query recommendation scenarios; build query generation and rewriting algorithms based on large‑language models (LLMs).
• Support the development of guided conversational systems powered by LLMs; improve users’ efficiency in discovering and understanding new categories through technologies such as LLM and retrieval‑augmented generation (RAG).

Requirements

• Final‑year or penultimate student currently pursuing a Bachelor’s degree in computer science, computer engineering, or related fields, or Master’s degree or above in computer science, computational linguistics, or related majors.
• Familiar with at least one of the following programming languages: C++, Go, or Python, and have strong knowledge of data structures and algorithms.
• Excellent coding skills, hands‑on online code‑development experience, and proficiency in at least one language among C++, Go, Python, or Java.
• Experience with data analysis using Spark SQL or Scala is preferred.
• Data‑sensitive and business‑aware, passionate about technical challenges, with strong critical‑thinking skills.
• Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.
• Full‑time internship (6 months) preferred; part‑time interns who can commit at least 3 working days a week are also welcome to apply.