Graduate MLOps Engineer - Ads Infra, SRE Ready

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

Job summary

TikTok Pte. Ltd. in Singapore is seeking a graduate SRE to join our global ML infrastructure team. You will help define SLOs, ensure reliability of online ML inference services, and support training pipelines and deployment workflows across large-scale systems.

You will work with Linux, Python/Go/C/C++/Java, and modern observability tools to improve GPU/CPU utilization, monitoring, and performance. Join a fast-paced team driving scalable ML platforms.

Qualifications

• Bachelor's or Master's degree in Computer Science or Software Engineering or related discipline.
• Strong knowledge of Linux operating systems, networking and storage.
• Proficiency in at least one language: Python, Go, C, C++, or Java.
• Experience in troubleshooting applications or production operations.
• Excellent communication and ownership skills.

Responsibilities

• Define and drive SLOs for online ML inference systems to ensure reliability and performance of large-scale production services.
• Ensure reliability and operational excellence of offline ML training pipelines and improve training job success rates.
• Lead capacity planning and resource management for ML workloads, optimizing GPU/CPU utilization.
• Enable new ML frameworks and GPU platforms for scalable production deployments while preserving model quality.
• Design and maintain MLOps platforms and automation tools (quota management, diagnostics, monitoring, observability, resource management).

Skills

Python

Go

C

C++

Java

Linux

Networking

Storage

Troubleshooting

Communication

Ownership

Education

Bachelor's degree in Computer Science or Software Engineering

Master's degree in Computer Science or related field

Job description

TikTok Pte. Ltd. in Singapore is seeking a graduate SRE to join our global ML infrastructure team. You will help define SLOs, ensure reliability of online ML inference services, and support training pipelines and deployment workflows across large-scale systems.

You will work with Linux, Python/Go/C/C++/Java, and modern observability tools to improve GPU/CPU utilization, monitoring, and performance. Join a fast-paced team driving scalable ML platforms.