Graduate Backend Engineer, Recommendation Systems
Summary
Builds and optimizes recommendation systems for e-commerce using Python and C/C++, focusing on strategy management, adaptive tuning, and cost efficiency.
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.