Responsibilities

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.

Team Intro
AML (Applied Machine Learning) Machine Learning System team focuses on the research and implementation of cutting-edge technologies in the field of Machine Learning systems, providing high-performance, highly reliable, scalable systems.
In the 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 improvement and problem analysis, and be involved in the decision-making process.

Responsibilities:
1. Responsible for the design and development of Machine Learning infrastructure for LLM/AIGC, etc
2. Build up a super large machine learning system integrating GPUs, RDMA networking, and high-performance storage
3. Responsible for solving technical problems such as high stability and availability of the system
4. Organize and coordinate multiple teams to complete the construction of the system, including Data center team, network team, computing team, storage team, resource team

Qualifications

Minimum Qualifications:
1. Be proficient in 1 to 2 programming languages such as C++/Go/Python/Shell in Linux environment
2. Understand the principles of distributed systems and have experience in design, development and maintenance of large-scale machine learning systems
3. Be familiar with Kubernetes architecture, and have rich experience in system-level development and tuning
4. Have an excellent logical analysis ability, able to reasonably abstract and split business logic
5. Have a strong sense of responsibility, good learning ability, communication skills and self-drive

Preferred Qualifications
1. Familiar with the ML Infrastructure of Large Model training and inference
2. Experience in one of the following fields: AI Infrastructure, HW/SW Co-Design, High Performance Computing, ML Hardware Architecture (GPU, Accelerators, Networking)

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at rd.accommodations@tiktok.com