Tiktok - San Jose, 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. As part of our Ads Diagnosis & Optimization team, we are focused on building the next-generation ads bidding and ranking diagnosis platform for TikTok Ads. This role is crucial in supporting our growth and empowering creators while connecting people and exploring new possibilities. We are looking for Software Engineers with a solid background in auction, recommendation, or deep learning to enhance our existing delivery system, optimizing both user experience and monetization efficiency. In this position, you will have the opportunity to collaborate closely with a fully globalized team, diving deep into engineering design and iterating on state-of-the-art machine learning models across various product growth initiatives in a high-impact and fast-paced environment. You will face some of the world's most challenging technical and business problems, providing you with a unique opportunity to make a significant impact. Your responsibilities will include understanding the objectives of the ads platform and leveraging modern machine learning techniques to improve the relevance and quality of ads delivered to end users. You will work alongside Product Managers, Designers, and other disciplines to diagnose delivery problems, optimize experiences, and enhance monetization efficiency on TikTok. Additionally, you will explore and develop core systems and algorithms related to ads bidding, targeting, ranking, and model serving reliability, while conducting cutting-edge research in auction, recommendation, or deep learning-related problems and applying these technologies to various business scenarios.