12 hours ago

Backend Engineer Graduate (TikTok Live Recommendation Architecture) - 2026 Start (BS/MS)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Build and maintain high-performance online services and efficient data pipelines powering the TikTok Live recommendation system. Work on global, large-scale recommendation and mid-platform architecture, including flexible, scalable storage and computing frameworks. Collaborate closely with applied machine learning engineers to support innovative algorithms, tackle system bottlenecks, and optimize reliability, availability, and offline/online data flow performance.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Graduate level

Key Responsibilities

•Build and maintain high-performance online services for the TikTok Live recommendation system.
•Design and develop efficient, reliable data pipelines for candidate generation, profile generation, training examples, and real-time online training.
•Build globalized large-scale recommendation systems.
•Design and develop high-performance computing frameworks and storage systems.
•Research, design, and develop computer and network software; update software and develop testing and validation procedures.

Key Requirements

•Be a final-year student in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Have programming experience in at least one of: C, C++, Java, or Golang.
•Demonstrate effective communication skills with a strong sense of ownership and drive.
•Be Agile and a quick self-learner with high self-motivation and product ownership.
•Have experience in areas such as personalized recommendations, search, machine learning, distributed storage systems, or big data frameworks.

Skills:CommunicationOwnershipSelf-motivationTeam collaborationProblem-solving

Tech Stack:CC++JavaGolang

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

12 hours ago

Backend Engineer Graduate (TikTok Live Recommendation Architecture) - 2026 Start (BS/MS)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Graduate level

Key Responsibilities

•Build and maintain high-performance online services for the TikTok Live recommendation system.
•Design and develop efficient, reliable data pipelines for candidate generation, profile generation, training examples, and real-time online training.
•Build globalized large-scale recommendation systems.
•Design and develop high-performance computing frameworks and storage systems.
•Research, design, and develop computer and network software; update software and develop testing and validation procedures.

Key Requirements

•Be a final-year student in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Have programming experience in at least one of: C, C++, Java, or Golang.
•Demonstrate effective communication skills with a strong sense of ownership and drive.
•Be Agile and a quick self-learner with high self-motivation and product ownership.
•Have experience in areas such as personalized recommendations, search, machine learning, distributed storage systems, or big data frameworks.

Skills:CommunicationOwnershipSelf-motivationTeam collaborationProblem-solving

Tech Stack:CC++JavaGolang

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn