9 hours ago

Backend Engineer, TikTok Recommendation Architecture

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Build and maintain high-performance online services and large-scale recommendation systems. Design efficient data pipelines for candidate and profile generation, training example generation, and realtime online training. Develop high-performance computing frameworks and storage systems, and research software and network utilities. Collaborate across hardware and software to integrate systems, update software capabilities, and improve testing and validation.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and maintain high-performance online services for the recommendation system.
•Create efficient, reliable data pipelines for candidate generation, profile generation, training examples, and realtime 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 utilities and integrate hardware/software specifications.

Key Requirements

•Bachelor's degree or above in Computer Science or related fields.
•Experience building scalable systems.
•Programming experience in at least one of: C, C++, Java, or Golang.
•Experience in one or more areas such as personalized recommendations, search engine, machine learning, distributed storage systems, or big data frameworks is a plus.
•Effective communication skills and a sense of ownership and drive.

Experience:Recommendation systemsPersonalized recommendationsSearch engineMachine learningDistributed storageBig data

Education:Bachelor's in Computer Science

Skills:Effective communicationOwnershipDrive

Tech Stack:CC++JavaGolang

Eligibility

Work Authorization:Sponsorship available.

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

9 hours ago

Backend Engineer, TikTok Recommendation Architecture

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and maintain high-performance online services for the recommendation system.
•Create efficient, reliable data pipelines for candidate generation, profile generation, training examples, and realtime 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 utilities and integrate hardware/software specifications.

Key Requirements

•Bachelor's degree or above in Computer Science or related fields.
•Experience building scalable systems.
•Programming experience in at least one of: C, C++, Java, or Golang.
•Experience in one or more areas such as personalized recommendations, search engine, machine learning, distributed storage systems, or big data frameworks is a plus.
•Effective communication skills and a sense of ownership and drive.

Experience:Recommendation systemsPersonalized recommendationsSearch engineMachine learningDistributed storageBig data

Education:Bachelor's in Computer Science

Skills:Effective communicationOwnershipDrive

Tech Stack:CC++JavaGolang

Eligibility

Work Authorization:Sponsorship available.

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn