1 day ago

Software Engineer - Recommendation Infrastructure, TikTok Video Social

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Build and optimize the recommendation system infrastructure that powers TikTok’s social experience. You’ll develop high-performance online services, design scalable global architectures, and implement reliable data pipelines for candidate/profile generation, training examples, and real-time online training. The role also includes creating high-performance computing frameworks and storage systems, supporting recommendation quality at large scale.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain high-performance online services for the TikTok recommendation system.
•Create efficient and reliable data pipelines for candidate generation, profile generation, training examples generation, and real-time online training.
•Build globalized, large-scale recommendation systems.
•Design and develop high-performance computing frameworks and storage systems.
•Optimize the recommendation architecture for the best social experience for TikTok users.

Key Requirements

•Bachelor’s degree or above in Computer Science or a related field.
•At least 2 years of experience building scalable systems.
•Programming experience in one or more of: C, C++, Java, or Golang.
•Effective communication skills with a sense of ownership and drive.
•Experience in at least one area such as personalized recommendations, search engine, machine learning, distributed storage systems, or big data frameworks.

Experience:2+ yearsScalable systemsRecommendation systemsMachine learningDistributed storage

Education:Bachelor's in Computer Science

Skills:CommunicationOwnershipDrive

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

Loading job details...

Preparing the role view and application actions.

TikTok

1 day ago

Software Engineer - Recommendation Infrastructure, TikTok Video Social

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain high-performance online services for the TikTok recommendation system.
•Create efficient and reliable data pipelines for candidate generation, profile generation, training examples generation, and real-time online training.
•Build globalized, large-scale recommendation systems.
•Design and develop high-performance computing frameworks and storage systems.
•Optimize the recommendation architecture for the best social experience for TikTok users.

Key Requirements

•Bachelor’s degree or above in Computer Science or a related field.
•At least 2 years of experience building scalable systems.
•Programming experience in one or more of: C, C++, Java, or Golang.
•Effective communication skills with a sense of ownership and drive.
•Experience in at least one area such as personalized recommendations, search engine, machine learning, distributed storage systems, or big data frameworks.

Experience:2+ yearsScalable systemsRecommendation systemsMachine learningDistributed storage

Education:Bachelor's in Computer Science

Skills:CommunicationOwnershipDrive

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