Graduate Backend Engineer, Recommendation Architecture

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance is seeking a research-focused engineer to advance the architecture of its recommendation system. You will help design, optimize, and evaluate scalable strategies that improve user experience while controlling costs.

The role involves cross-domain data, data quality, and privacy as part of building a robust, high-performance data and service platform. Qualifications include a PhD in CS/SE or related field, strong programming skills in Python and C/C++, and proven research results in

Qualifications

• PhD completed or near completion in Software Development, CS, or related technical discipline.
• Strong research results in NLP, CV, data modeling, or algorithm optimization.
• Excellent programming abilities with data structures and fundamental algorithms; Python for intelligent coding, C/C++ for traditional coding.

Responsibilities

• Strategy and optimization of recommendation system architecture and evaluation.
• Adaptive tuning and fault diagnosis for large-scale systems.
• Cost-efficiency balancing for model training and operation.
• Cross-domain data processing with data quality and privacy in mind.
• Develop high-performance storage engines and schema evolution mechanisms.
• Build multimodal data frameworks and Python-based developer ecosystem.
• Collaborate with algorithm and data teams to improve user experience.

Skills

Python

C/C++

Data structures

Algorithms

Communication

Education

PhD in CS/SE

Job description

ByteDance is seeking a research-focused engineer to advance the architecture of its recommendation system. You will help design, optimize, and evaluate scalable strategies that improve user experience while controlling costs.

The role involves cross-domain data, data quality, and privacy as part of building a robust, high-performance data and service platform. Qualifications include a PhD in CS/SE or related field, strong programming skills in Python and C/C++, and proven research results in