Software Engineer in Machine Learning Infra, TikTok Recommendation Architecture
TIKTOK PTE. LTD.
Singapore, SG
Not specified; not specified; pyid leave mentioned
Not specified (assumed hybrid given the tech role and location).
Bachelor's degree in computer science
Linux environment programming c/c++/golang
Gpu hardware architecture knowledge
TikTok is seeking a Software Engineer for its Machine Learning Infrastructure within the Recommendation Architecture team in Singapore. The role focuses on optimizing the recommendation system's architecture, requiring strong programming and analytical skills, particularly in GPU performance and machine learning frameworks
Job Summary
The team is responsible for building up and optimizing the architecture for TikTok's recommendation system to provide the most stable and best experience for users.
Responsibilities include serving and training infra optimization of machine learning models and building globalized large-scale recommendation systems.
TikTok prioritizes applicants who have a current right to work in Singapore and do not require visa sponsorship.
Matching Summary
Match Score: 85
TikTok is seeking a Software Engineer for its Machine Learning Infrastructure within the Recommendation Architecture team in Singapore. The role focuses on optimizing the recommendation system's architecture, requiring strong programming and analytical skills, particularly in GPU performance and machine learning frameworks.
Salary
Not specified; Not specified; Paid leave mentioned
Skills & Requirements
Must-have
Bachelor's degree in Computer Science
Linux environment programming C/C++/Golang
GPU hardware architecture knowledge
CUDA cuDNN experience
Scalable system building experience
Nice-to-have
Deep model inference training debugging
Model optimization tools TVM MLIR XLA
Tensorflow Pytorch MxNet familiarity
System bottleneck solving skills
Cost overhead reduction experience
Key Requirements
Bachelor's degree or above in Computer Science
Experience with C/C++/golang in Linux
Current right to work in Singapore without sponsorship