MLOps Engineer: Scale ML Production & Reliability

TikTok; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

TikTok is seeking a Machine Learning Operations SRE for its global ML infrastructure. You will join the MLOps - Global SRE team responsible for reliability across data pipelines, model development, training, deployment, inference, and monitoring.

As a graduate or early-career professional, you will tackle bold challenges, contribute to scalable systems, and have opportunities for growth as the company expands its ML capabilities in Singapore and globally.

Qualifications

• Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Computer Science or Software Engineering or a related discipline.
• Expertise in Linux operating systems, networking, storage.
• Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java.
• Experience in troubleshooting application issues, or production operations.
• Effective communication skills and a sense of ownership and drive.
• Experience in SRE of machine learning systems.
• Experience in SRE of ads/recommendation/search systems.

Responsibilities

• Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
• Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates;
• Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization;
• Lead the enablement of new machine learning frameworks and GPU platforms, driving large-scale production deployment while maintaining model quality and business performance;
• Design, build, and maintain MLOps platforms and automation tools, including quota management, job diagnostics, monitoring and observability, resource management, and operational tooling.

Skills

Python

Go

C

C++

Java

Linux

Networking

Storage

Education

Bachelor's/Master's degree in Computer Science or Software Engineering or related discipline

Job description

TikTok is seeking a Machine Learning Operations SRE for its global ML infrastructure. You will join the MLOps - Global SRE team responsible for reliability across data pipelines, model development, training, deployment, inference, and monitoring.

As a graduate or early-career professional, you will tackle bold challenges, contribute to scalable systems, and have opportunities for growth as the company expands its ML capabilities in Singapore and globally.