Machine Learning Engineer - Feed E-Commerce - Singapore Singapore Regular

Pangleglobal; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

Pangleglobal is seeking a Machine Learning Engineer in Singapore to design algorithms and recommendation strategies enhancing user experience on e-commerce platforms. Ideal candidates should have a Bachelor's degree in computer science with a minimum of 2 years' experience in software development and machine learning. Responsibilities include collaborating with product teams, understanding e-commerce ecosystems, and building leading recommendation systems. Join us to reshape global e-commerce through innovative technologies.

Qualifications

• Minimum 2 years of related work experience.
• Solid experience with data structures and algorithms.
• Hands-on coding experience in general-purpose programming language.
• Experience in machine learning, recommendation systems, or data mining.
• Strong communication and teamwork skills.

Responsibilities

• Design machine learning algorithms to improve user experience.
• Understand e-commerce content ecosystem and enhance it.
• Collaborate with product and ops teams to deliver growth features.
• Develop scalable classifiers and tools leveraging machine learning.

Skills

Machine learning

Recommendation systems

Data structures

Algorithms

Software development

Problem-solving

Education

Bachelor's degree in computer science or related technical discipline

Job description

About the Team

We are the E-commerce Short Video & Live Recommendation Team. As pioneers reshaping global shopping experiences, we specialize in end-to-end optimization of short video recommendation systems across Europe, Southeast Asia, and Latin America. Our mission spans the full recommendation pipeline—from content supply, candidate retrieval, pre-ranking, ranking, blending to user experience refinement—building a culture‑adaptive recommendation engine for our diverse markets. Breaking through traditional "product shelf" e-commerce paradigms, we reinvent recommendation systems for the short video era. Our team combines academic excellence from top global universities with industrial expertise in billion‑DAU recommendation systems. By leveraging cutting‑edge machine learning technologies, we create dynamic intelligent matching bridges between massive product catalogs and global users. We are committed to providing a personalized, proactive, and efficient consumption experience for users through live‑stream e-commerce content by connecting them with exceptional sellers and high‑quality products.

Responsibilities

• Design and apply machine learning algorithm and recommendation strategies to improve users' experience on e-commerce content, including videos and livestreams.
• Understand the ecosystem of e-commerce content and use algorithm and strategy to make it thrive.
• Work with product and ops teams to deliver features that drive growth of e-commerce content on our platform.
• Build an industry‑leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning.

Qualifications

Minimum Qualifications

• Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience.
• Solid experience with data structures and algorithms.
• Software development experience through hands‑on coding in a general‑purpose programming language.
• Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas.
• Strong communication and teamwork skills.
• Passion about technologies and solving challenging problems.

Preferred Qualifications

• More than 3 years experience in the recommendation algorithm domain.