ByteDance

5 days ago

Backend Engineer Graduate (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: 22 hours agoStatus: Live

Job Summary

Build and maintain high-performance online services for a live recommendation system, along with efficient, reliable data pipelines for candidate and training example generation. Design global large-scale recommendation systems and develop high-performance computing frameworks and scalable storage. Partner with applied machine learning engineers to support innovative algorithms, solving system bottlenecks and improving stability, availability, and cost efficiency.

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 live recommendation system.
•Build extremely efficient and reliable data pipelines for candidate generation, profile generation, training example generation, 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; update software and improve testing and validation procedures.

Key Requirements

•Completing or recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Experience programming in at least one of C, C++, Java, or Golang.
•Effective communication skills and a strong sense of ownership and drive.
•Experience in at least one of personalized recommendations, search engine, machine learning, distributed storage systems, or big data frameworks (big data frameworks is a plus).
•Agile, quick self-learner, highly self-motivated, and comfortable with creative problem solving and product ownership.

Experience:Machine learningDistributed systemsBig data

Education:

Skills:CommunicationOwnershipDriveSelf-learningCollaborationCreative problem-solvingTeamwork

Tech Stack:CC++JavaGolangDistributed storageBig data

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

Website LinkedIn

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ByteDance

5 days ago

Backend Engineer Graduate (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: 22 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 live recommendation system.
•Build extremely efficient and reliable data pipelines for candidate generation, profile generation, training example generation, 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; update software and improve testing and validation procedures.

Key Requirements

•Completing or recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Experience programming in at least one of C, C++, Java, or Golang.
•Effective communication skills and a strong sense of ownership and drive.
•Experience in at least one of personalized recommendations, search engine, machine learning, distributed storage systems, or big data frameworks (big data frameworks is a plus).
•Agile, quick self-learner, highly self-motivated, and comfortable with creative problem solving and product ownership.

Experience:Machine learningDistributed systemsBig data

Education:

Skills:CommunicationOwnershipDriveSelf-learningCollaborationCreative problem-solvingTeamwork

Tech Stack:CC++JavaGolangDistributed storageBig data

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn