Research Scientist, ML Recommendation Systems, Applied Machine Learning Team

Job description

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: The base salary range for this position in the selected city is $156000 - $387600 annually. - 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 - Pioneer new modeling strategies by...