Machine Learning Engineer - Feed E-Commerce - Singapore

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Communication","Teamwork","Problem-solving","Passion for technology"]

Build and improve end-to-end recommendation systems for e-commerce short video and live-stream shopping experiences. Design machine learning algorithms and ranking strategies to enhance video and livestream user experience, contribute to scalable classifiers and tools, and collaborate with product and ops to ship features that drive e-commerce content growth. Work on a culture-adaptive recommendation engine across multiple global markets.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
ByteDance
ByteDance
1 month ago

Machine Learning Engineer - Feed E-Commerce - Singapore

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and improve end-to-end recommendation systems for e-commerce short video and live-stream shopping experiences. Design machine learning algorithms and ranking strategies to enhance video and livestream user experience, contribute to scalable classifiers and tools, and collaborate with product and ops to ship features that drive e-commerce content growth. Work on a culture-adaptive recommendation engine across multiple global markets.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and apply machine learning algorithms and recommendation strategies to improve user experience for e-commerce content (videos and livestreams)
  • •Understand the e-commerce content ecosystem and use algorithms and strategy to help it thrive
  • •Collaborate with product and ops teams to deliver features that drive e-commerce content growth on the platform
  • •Build industry-leading recommendation systems by developing highly scalable classifiers and ML-based tools

Key Requirements

  • •Bachelor’s degree in computer science or related technical discipline, with at least 2 years of related work experience
  • •Solid experience with data structures and algorithms
  • •Hands-on software development experience using a general-purpose programming language
  • •Experience in machine learning, recommendation systems, data mining, or related areas
  • •Strong communication and teamwork skills with passion for solving challenging technical problems
Experience:2+ yearsRecommendation systemsMachine learningE-commerceData mining
Education:Bachelor's
Skills:CommunicationTeamworkProblem-solvingPassion for technology

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn