Tiktok - Mountain View, CA
posted 3 days ago
TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S., created to enhance focus and governance on our data protection policies and content assurance protocols to ensure the safety of U.S. users. Our commitment is to provide oversight and protection of the TikTok platform and U.S. user data, allowing millions of Americans to continue using TikTok for learning, earning, creative expression, and entertainment. The teams within USDS that deliver on this commitment span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions, and more. As a Machine Learning Engineer in the Recommendations team, you will be part of a group of applied machine learning engineers and data scientists focused on general feed recommendations and E-commerce recommendations. Your role will involve developing innovative algorithms and techniques to enhance user engagement and satisfaction, transforming creative ideas into impactful business solutions. You will have the opportunity to apply large-scale machine learning to solve various real-world problems, contributing to the overall mission of TikTok. In this position, you will participate in building large-scale recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations. You will also be responsible for building user interest models, analyzing large datasets, and designing algorithms to efficiently explore users' latent interests. Additionally, you will design, develop, evaluate, and iterate on predictive models for candidate generation and ranking, including building real-time data pipelines and optimizing models. This role requires collaboration and cross-functional partnerships, and you will follow a hybrid work schedule, working in the office three days a week or as directed by your manager.