Backend Engineer, Live Recommendation Architecture (ByteDance Singapore)

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Communication","Ownership","Drive"]

Design and develop the live broadcast recommendation architecture, ensuring system stability and high availability while optimizing online services and offline data flows. Work on high-concurrency, high-throughput backend systems to reduce performance bottlenecks and costs. Build and optimize core recommendation capabilities, common components and services, and support partner-facing outputs. Drive research and development of new technologies and core components, including testing, validation, and hardware-software integration.

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FursaFursa
ByteDance
ByteDance
1 month ago

Backend Engineer, Live Recommendation Architecture (ByteDance Singapore)

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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

Design and develop the live broadcast recommendation architecture, ensuring system stability and high availability while optimizing online services and offline data flows. Work on high-concurrency, high-throughput backend systems to reduce performance bottlenecks and costs. Build and optimize core recommendation capabilities, common components and services, and support partner-facing outputs. Drive research and development of new technologies and core components, including testing, validation, and hardware-software integration.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Own the live broadcast recommendation architecture and drive architecture optimization for affiliated products.
  • •Design and develop a live broadcast SaaS recommendation system and deliver core recommendation capabilities to partners.
  • •Improve architecture abstraction and process optimization for recommendation scenarios, supporting large-scale machine learning optimization.
  • •Build and optimize large-scale, high-concurrency, high-throughput systems to enhance stability, performance, and scalability while reducing costs.
  • •Research and implement new technologies and core components, and develop software testing/validation; collaborate on hardware-software integration.

Key Requirements

  • •Bachelor's degree or above in Computer Science or a related field.
  • •Experience programming with C, C++, Java, or Golang.
  • •Strong programming ability with excellent design and code style.
  • •Enthusiastic about technical challenges with effective communication skills and ownership.
  • •Experience in at least one of personalized recommendations, search engine, machine learning, distributed storage systems, or big data frameworks (plus).
Experience:Personalized recommendationsSearch engineMachine learningDistributed storageBig data frameworks
Education:Bachelor's in Computer Science
Skills:CommunicationOwnershipDrive
Tech Stack:CC++JavaGolangSaaS

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