Live AI Infrastructure Engineer: GPU & Scalable Pipelines

TIKTOK PTE. LTD.

Singapore

On-site

SGD 60,000 - 110,000

Full time

2 days ago

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Benefits offered by this job

Yoga and fitness

Stock options

Competitive compensation

Flexible hours

Job summary

TikTok is hiring for a graduate/early-career position in Singapore to join our Live Recommendation Architecture Team. You will work on building and optimizing the architecture for live broadcast recommendations, ensuring stability, high availability, and efficient data flow.

You’ll collaborate with ML engineers to support innovative algorithms and scalable systems. As a recent graduate, you will explore bold ideas, tackle complex challenges, and have opportunities for growth in a fast-moving,

Qualifications

Bachelor's or Master's in AI, CS, or related discipline.
Solid programming skills in C++, CUDA, and Python.
Familiarity with GPU architecture and distributed training is desirable.
Experience in at least one language: C, C++, Java or Golang.
Strong ownership, communication and initiative.

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 models.
Develop tools, libraries, and compiler optimizations for DL workloads.
Analyze system performance via GPU profiling and throughput tuning for real-time workloads.
Build and maintain high-performance computing frameworks and storage for training/inference.