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 Applied Machine Learning - Machine Learning (ML) Systems team provides End to End (E2E) machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and advanced chip technology and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion and language modelling. The team is also responsible for the research and development of hardware acceleration technologies for cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large-scale language models.

Responsibilities:
Responsible for the machine learning system development of the company's large-scale models, researching new applications and solutions of related technologies in areas such as search, recommendation, advertising, content creation, conversation, and customer service, meeting the growing demand for intelligent interaction from users, and comprehensively improving users' lifestyles and communication methods in the future world.

The main work directions include:
- Responsible for the design and development of the architecture of large-scale machine learning systems, solving technical difficulties such as high concurrency, high reliability, and high scalability of the system;
- Covering various sub-directions of machine learning system, including resource scheduling, model training, model inference, data management, and workflow orchestration;
- Working closely with the algorithm teams to optimize the algorithm and system jointly;
- Research, design, and develop computer and network software or specialised utility programs;
- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis;
- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures;
- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements;