Research Scientist, ML Recommendation Systems, Applied Machine Learning Team

About the job

You will be joining our Applied Machine Learning team, a central team responsible for delivering state-of-the-art solutions powering our company's recommendations, ads, and search systems across various products such as TikTok, Douyin. We own the end-to-end ML lifecycle, from ideation and research to building, deploying, and iterating on models in production. We are looking for candidates who are passionate about solving complex problems and have a strong foundation in machine learning theory and practice.

Some of the projects we have been working on:

• Large Scale Recommendation Models
• End-to-End Generative Recommendation Systems
• Reinforcement Learning for User Personalization in Recommendation Systems

You Will

In this role, you will drive the next wave of innovation for our recommendation systems, directly shaping the user experience by:

• Build and scale up machine learning models for recommendation systems
• Research and apply multi-modal techniques (leveraging text, image, video) to create a holistic understanding of content and user preferences