SRE Tech Lead (Machine Learning Systems) - TikTok Infrastructure

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 the United States, China and Singapore working collaboratively towards unified project direction. We embrace a culture of diversity, intellectual curiosity, openness, and problem-solving. We encourage close collaboration while promoting self-direction.

As a Tech Lead, you are expected to set up necessary processes for efficient execution and advocate good engineering practices. You will also need to regularly communicate with other infrastructure teams and our users.

Responsibilities:
1. Lead a team of engineers who are committed to building and operating scalable and reliable ML systems globally, driving resource utilisation and cost optimisation, formulating relevant specifications and strategies, etc;
2. Mentor and provide technical leadership and guidance to both the team members and project peers;
3. Responsible for the cross functional collaboration with both internal stakeholders, such as Data center team, Network team, Storage team and infrastructure team, and external stakeholders to drive engineering efforts;
4. Stay up-to-date with industry trends and emerging technologies to lead the team's efforts in innovation innovation efforts;
5. Oversee the acquisition and development of software systems in organisational units.
6. Monitor the results and quality of the different software solutions and projects implemented in the organisation.
7. Oversee the development of Proof-of-Concept/ solutions and provide technical expertise on the development of software and platform features, ensuring that appropriate security and risk factors are considered.