TikTok will be prioritising applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the Team
The Machine Learning (ML) System team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world.

In our team, you'll have the opportunity to build the large scale heterogeneous system integrating with GPU/RDMA/Storage and keep it running stable and reliable, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision-making process. You'll also be part of a global team with members from United States, China and Singapore working collaboratively towards unified project direction.

Responsibilities
1. Responsible for the design and development of Machine Learning infrastructure and platform services for model development, training and deployment;
2. Build and deploy large scale systems for machine learning integrating with GPUs, RDMA networking, and high-performance storage;
3. Design and develop resource orchestration and workload scheduling in global data centers for online and offline scenarios;
4. Manage a large number of GPU resources to ensure computing powers are efficiently allocated to the different business lines;
5. Be the expert in providing technical solutions and consultations to business users for problems such as high stability and availability of the system;
6. Be the go-to expert to drive project deliverables for system and services construction with cross-functional teams such as business team, data center team, network team, computing team, storage team;
7. Research, design, and develop computer and network software or specialised utility programs;
8. Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis;
9. Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures;
10. Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements;