9 hours ago

Software Engineer, Recommendation Infrastructure

✓ 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 powering TikTok’s recommendation system. Design efficient, reliable data pipelines spanning candidate generation, profile generation, training example generation, and real-time online training. Work on globalized, large-scale recommendation systems and help design and develop high-performance computing frameworks and storage systems to improve stability and user experience.

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 TikTok’s recommendation system.
•Build efficient and reliable data pipelines for candidate generation, profile generation, training example generation, and real-time online training.
•Develop globalized, large-scale recommendation systems.
•Design and develop high-performance computing frameworks and storage systems.

Key Requirements

•Bachelor’s degree or above in Computer Science or a related field with 5+ years building scalable systems.
•Experience programming in C, C++, Java, or Golang.
•Experience in at least one area such as personalized recommendations, search engine, machine learning, distributed storage systems, or big data frameworks.
•Effective communication skills and a sense of ownership and drive.

Experience:5+ yearsRecommendation systemsMachine learningDistributed storageBig data

Education:Bachelor's in Computer Science or related fields

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

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TikTok

9 hours ago

Software Engineer, Recommendation Infrastructure

✓ 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: 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 TikTok’s recommendation system.
•Build efficient and reliable data pipelines for candidate generation, profile generation, training example generation, and real-time online training.
•Develop globalized, large-scale recommendation systems.
•Design and develop high-performance computing frameworks and storage systems.

Key Requirements

•Bachelor’s degree or above in Computer Science or a related field with 5+ years building scalable systems.
•Experience programming in C, C++, Java, or Golang.
•Experience in at least one area such as personalized recommendations, search engine, machine learning, distributed storage systems, or big data frameworks.
•Effective communication skills and a sense of ownership and drive.

Experience:5+ yearsRecommendation systemsMachine learningDistributed storageBig data

Education:Bachelor's in Computer Science or related fields

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