Graduate Backend Engineer, Recommendation Systems

ByteDance; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

ByteDance is looking for a dedicated PhD graduate to join their Recommendation Architecture Team in Singapore. This role focuses on strategy management, adaptive tuning, cross-domain data processing, and optimizing costs within the recommendation system. Ideal candidates must have robust programming skills, especially in Python and C/C++, as well as the ability to work collaboratively with various team members to drive technological innovation in e-commerce generative systems.

The position requires commitment to an onboarding date by the end of 2026 and prioritizes applicants with extensive research experience in related fields such as data modeling and algorithm optimization.

Qualifications

• Commit to onboarding date by end of 2026.
• PhD in Software Development or related field necessary.
• Research experience in NLP, CV, or algorithm optimization preferred.

Responsibilities

• Build intelligent systems for recommendation strategy management.
• Optimize parameters for diverse business loads.
• Enhance data quality and ensure compliance.
• Develop frameworks for multimodal data processing.
• Collaborate with engineers for model efficiency optimization.

Skills

Programming abilities

Data structures and algorithms

C/C++ proficiency

Python proficiency

Communication and collaboration

Education

PhD in Software Development, Computer Science, or related field

Tools

Python

C/C++

Job description

ByteDance is looking for a dedicated PhD graduate to join their Recommendation Architecture Team in Singapore. This role focuses on strategy management, adaptive tuning, cross-domain data processing, and optimizing costs within the recommendation system. Ideal candidates must have robust programming skills, especially in Python and C/C++, as well as the ability to work collaboratively with various team members to drive technological innovation in e-commerce generative systems.

The position requires commitment to an onboarding date by the end of 2026 and prioritizes applicants with extensive research experience in related fields such as data modeling and algorithm optimization.