ML Engineer, E‑Commerce Feed & Live Content

ByteDance

Singapore

Sur place

SGD 70 000 - 90 000

Plein temps

14 jours+
Générateur de candidature

Une candidature conçue pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.

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Résumé du poste

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.

Responsabilités

  • 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.

Connaissances

Machine learning
Recommendation systems
Data structures
Algorithms
Software development
Problem-solving

Formation

Bachelor's degree in computer science or related technical discipline

Description du poste

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.
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