Research Scientist, Intelligent Architecture

Singapore, Singapore

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About Tiktok

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 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 mission of Compute Platform - Intelligent Architecture team is to empower computing platforms with the state-of-the-art AI techniques, such as large language models (LLMs), reinforcement learning (RL) and more. The areas we focus on are improving engineering efficiency, usability and performance of Data Management & Integration, Data Mining and Data Processing by applying the emerging AI techniques to the large-scale computing platforms running in production at Tiktok.

Responsibilities

- Participate in cutting edge research and innovations in the following areas: Data Management & Integration, Data Mining, Machine Learning, Deep Learning, Language Models, High Performance Data Processing systems and New Hardwares.
- Propose solutions and develop solid systems to solve and optimize real world problem occurs in the large-scale computing system handling billions of requests per day in production.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Data management Data Mining Deep Learning Engineering LLMs Machine Learning Reinforcement Learning Research

Region: Asia/Pacific
Country: Singapore

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