AI Infrastructure Engineer – Live Recommendation Systems

TikTok; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

TikTok Singapore is seeking graduates to join the Live Recommendation Architecture Team to design and optimize the live broadcast recommendation system, ensuring stability, performance, and scalability for real-time inference.

As a graduate, you will tackle challenging problems, gain exposure to cutting-edge ML techniques, and growing with a globally distributed, fast-moving tech company. Onboarding by year-end is expected and candidates should indicate their graduation date in the resume.

Qualifications

• Bachelor's or Master's degree in AI, Computer Science, Engineering, or related field.
• Strong programming skills in C/C++, CUDA, Python and experience with GPU architectures.

Responsibilities

• Optimize model performance and memory efficiency on GPU-based systems for Live Recommendation.
• Deploy and scale high-throughput training and inference pipelines for live broadcast models.
• Develop tools, libraries, and compiler optimizations to accelerate deep learning workloads.

Skills

C/C++

CUDA

Python

GPU programming

Education

Bachelor's degree in AI/CS/Engineering

Job description

TikTok Singapore is seeking graduates to join the Live Recommendation Architecture Team to design and optimize the live broadcast recommendation system, ensuring stability, performance, and scalability for real-time inference.

As a graduate, you will tackle challenging problems, gain exposure to cutting-edge ML techniques, and growing with a globally distributed, fast-moving tech company. Onboarding by year-end is expected and candidates should indicate their graduation date in the resume.