Description
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy.

TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation 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.Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth.

The team is made up of machine learning researchers and engineers, who support and innovate production recommendation models and drive product impact. The team is fast-paced, collaborative and impact-driven.Responsibilities - Build industry-leading infrastructure for large scale cloud + on-premise, improving user experience, content ecosystem and platform security;- Deliver turn-key ML solution to address critical product challenges;- Own the full stack IaaS/PaaS systems and optimize algorithms and infrastructure to improve e2e performance.

- Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.QualificationsMinimum Qualifications- 5 years of experience in one or more of the following areas: cloud infrastructure, large-scale distributed system, PaaS/IaaS- Strong programming skills in Python and/or C/C+, and a deep understanding of large scale infrastructure - Deep insights and clear organization skills, capable of addressing various problems and challenges in growth scenarios.- Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems.

Preferred Qualifications- Industry experience with the main components of ML systems- Strong track record of success in hybrid cloud & on premise infrastructureTikTok 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 https://shorturl.at/cdpT2RegularExperienced.