Algorithm Engineer Intern, Recommendation (Fall 2026)

Shopee; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

Shopee is seeking an Algorithm Engineer to enhance user experiences through innovative recommendation algorithms. You will design, develop, and optimize models while analyzing user behavior data to ensure high performance.

The ideal candidate holds a relevant degree, possesses strong programming skills, and is passionate about recommender systems. Join us to stay at the forefront of technology in a fast-paced environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Strong programming skills in Python or C++.
• Solid understanding of data structures and algorithms.

Responsibilities

• Design and develop innovative recommendation algorithms.
• Optimize models for efficiency, accuracy, and scalability.
• Analyze user behavior data to improve recommendation performance.

Skills

Python

C++

Machine Learning

Data-Driven Problem Solving

Communication

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

TensorFlow

PyTorch

MXNet

Job description

About The Team

The Shopee E-commerce Recommendation Algorithm Team is dedicated to enhancing the user experience across all recommendation scenarios, supporting a rapidly growing user and product base. Our mission is to build a world‑class recommender system using cutting‑edge technologies, driving continuous performance improvements, and exploring best practices for large‑scale deep neural network‑based systems.

Job Description

As an Algorithm Engineer, you will:

• Contribute to the design and development of innovative recommendation algorithms to improve user experience and conversion rates.
• Assist in optimizing models to enhance efficiency, accuracy, and scalability.
• Analyze user behavior data to uncover patterns and improve recommendation performance.
• Translate business goals into algorithmic solutions that deliver measurable impact.
• Stay updated on the latest research and trends in recommender systems, and apply new methods where appropriate.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong programming skills, with proficiency in Python or C++ preferred.
• Solid understanding of data structures, algorithms, and basic machine learning principles.
• Familiarity with at least one deep learning framework (e.g., TensorFlow, PyTorch, MXNet) is a plus.
• Passion for recommender systems, data‑driven problem solving, and continuous learning.
• Strong communication and teamwork skills; able to collaborate in a fast‑paced environment.