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.

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
Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

What you will be doing:
- Participate in the research and optimization of large-scale machine learning online prediction frameworks, supporting the efficient model recommendation of TikTok's products;
- Involve in processing large-scale feature samples, including data flow conversion, model training, and parameter tuning, addressing related issues through research and breakthroughs;
- Collaborate closely with algorithm teams to analyze and solve above challenges, and assist with practical business needs.

Location

San Jose, California, United States

Job Overview
Job Posted:
2 days ago
Job Expires:
Job Type
Full Time

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