ByteDance

5 days ago

Backend Engineer Graduate (Recommendation Architecture) - 2026 Start (PhD)

✓ 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

Design and optimize large-scale recommendation system architecture for stable, high-availability user experiences. Build strategy management and offline evaluation, adaptive tuning and fault diagnosis using large model capabilities, and balance training/serving costs with effectiveness. Work on cross-domain data processing and privacy compliance, develop low-cost high-performance storage and schema evolution, and create multimodal heterogeneous computing pipelines with a Python-centered developer ecosystem.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Graduate level

Key Responsibilities

•Build intelligent systems for standardized recommendation strategy definitions, long-term/offline evaluation, automatic strategy identification/retirement, and removal of related code configurations.
•Optimize system parameters and configurations across diverse recommendation business loads, including adaptive fault diagnosis for fault tracking, localization, and analysis.
•Balance training and operational costs with effectiveness when applying generative technologies to recommendation systems under limited resources.
•Process massive heterogeneous cross-domain data (e.g., e-commerce), improve/ensure data quality, standardize data supply, and enable low-cost cross-terminal services while ensuring privacy/security/compliance.
•Develop low-cost, high-performance storage engines and flexible schema evolution, ensuring high-concurrency real-time writing and training-inference consistency, including data-model correlation analysis and automated training data pipelines.

Key Requirements

•Completing or having recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Strong research and practical experience in areas such as natural language processing, computer vision, data modeling, or algorithm optimization.
•Excellent programming skills and strong command of data structures and fundamental algorithms.
•For traditional coding roles, proficiency in C/C++; for intelligent coding roles, proficiency in Python.
•Ability to communicate and collaborate effectively with algorithm engineers, data analysts, and product managers to explore new technologies in e-commerce generative recommendation systems.

Education:PhD / Doctorate in Software Development, Computer Science, Computer Engineering, or a related technical discipline

Skills:CommunicationCollaborationProblem-solving

Tech Stack:PythonC/C++NLPComputer visionMultimodalLarge modelsData storageSchema evolutionData-centric AI (DCAI)

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 (Recommendation Architecture) - 2026 Start (PhD)

✓ 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 intelligent systems for standardized recommendation strategy definitions, long-term/offline evaluation, automatic strategy identification/retirement, and removal of related code configurations.
•Optimize system parameters and configurations across diverse recommendation business loads, including adaptive fault diagnosis for fault tracking, localization, and analysis.
•Balance training and operational costs with effectiveness when applying generative technologies to recommendation systems under limited resources.
•Process massive heterogeneous cross-domain data (e.g., e-commerce), improve/ensure data quality, standardize data supply, and enable low-cost cross-terminal services while ensuring privacy/security/compliance.
•Develop low-cost, high-performance storage engines and flexible schema evolution, ensuring high-concurrency real-time writing and training-inference consistency, including data-model correlation analysis and automated training data pipelines.

Key Requirements

•Completing or having recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
•Strong research and practical experience in areas such as natural language processing, computer vision, data modeling, or algorithm optimization.
•Excellent programming skills and strong command of data structures and fundamental algorithms.
•For traditional coding roles, proficiency in C/C++; for intelligent coding roles, proficiency in Python.
•Ability to communicate and collaborate effectively with algorithm engineers, data analysts, and product managers to explore new technologies in e-commerce generative recommendation systems.

Education:PhD / Doctorate in Software Development, Computer Science, Computer Engineering, or a related technical discipline

Skills:CommunicationCollaborationProblem-solving

Tech Stack:PythonC/C++NLPComputer visionMultimodalLarge modelsData storageSchema evolutionData-centric AI (DCAI)

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