Machine Learning Ops Engineer, Global SRE
Feb 11, 2026 Singapore
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
Team Introduction
MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the reliable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on.
Responsibilities
- Responsible for setting SLOs of online machine learning serving systems, maintaining the stability of the online serving systems;
- Responsible for maintaining stability of offline machine learning training tasks, improving the success rate of the training tasks;
- Responsible for rolling out GPU model training in Non-China regions;
- Responsible for stability of AIGC related machine learning tasks;
- Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc;
Qualifications
Minimum Qualification(s)
- Bachelor's degree in Computer Science or Software Engineering, similar technical field of study, or equivalent practical experience.
- 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.
Preferred Qualification(s):
- Experience in SRE of machine learning systems.
- Experience in SRE of ads/recommendation/search systems.
Team Introduction
MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the reliable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on.
Responsibilities
- Responsible for setting SLOs of online machine learning serving systems, maintaining the stability of the online serving systems;
- Responsible for maintaining stability of offline machine learning training tasks, improving the success rate of the training tasks;
- Responsible for rolling out GPU model training in Non-China regions;
- Responsible for stability of AIGC related machine learning tasks;
- Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc;
Minimum Qualification(s)
- Bachelor's degree in Computer Science or Software Engineering, similar technical field of study, or equivalent practical experience.
- 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.
Preferred Qualification(s):
- Experience in SRE of machine learning systems.
- Experience in SRE of ads/recommendation/search systems.
Team Introduction
MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the reliable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on.
Responsibilities
- Responsible for setting SLOs of online machine learning serving systems, maintaining the stability of the online serving systems;
- Responsible for maintaining stability of offline machine learning training tasks, improving the success rate of the training tasks;
- Responsible for rolling out GPU model training in Non-China regions;
- Responsible for stability of AIGC related machine learning tasks;
- Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc;
Qualifications
Minimum Qualification(s)
- Bachelor's degree in Computer Science or Software Engineering, similar technical field of study, or equivalent practical experience.
- 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.
Preferred Qualification(s):
- Experience in SRE of machine learning systems.
- Experience in SRE of ads/recommendation/search systems.
Responsibilities
ResponsibilitiesTeam Introduction
MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the reliable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on.
Responsibilities
- Responsible for setting SLOs of online machine learning serving systems, maintaining the stability of the online serving systems;
- Responsible for maintaining stability of offline machine learning training tasks, improving the success rate of the training tasks;
- Responsible for rolling out GPU model training in Non-China regions;
- Responsible for stability of AIGC related machine learning tasks;
- Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc;
Qualifications
QualificationsMinimum Qualification(s)
- Bachelor's degree in Computer Science or Software Engineering, similar technical field of study, or equivalent practical experience.
- 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.
Preferred Qualification(s):
- Experience in SRE of machine learning systems.
- Experience in SRE of ads/recommendation/search systems.
Additional Information
- Posted: Feb 11, 2026