Software Engineer, Ads ML Infrastructure

About the team The ads system at TikTok operates on a massive scale and serves millions of advertisers, clients and influencers across the world. The quality of the ads system highly depends on the ability to handle massive data, and machine learning is widely used to improve the quality of our ads. The Ads machine learning data platform team is responsible for building highly efficient and stable infrastructure to collect and process data for the usage of machine learning training, serving, and privacy enforcement, including feature engineering, feature store, training data generation, etc. We are looking for an innovative Software Engineer to join the team. You will provide technical leadership to key projects and empower the team. Responsibilities • Lead projects committed to building and operating scalable and reliable Ads ranking infrastructure systems. • Provide technical leadership and guidance to team members and project peers. • Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts. • Lead the innovation efforts, and bring in new ideas and technologies. Minimum Qualifications • Bachelor's degree in computer science or related technical disciplines. • 3+ years of hands-on experience with building and training complex and scalable machine learning systems. • Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills. • Solid coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning. • Experience in managing projects. Preferred Qualifications • Experience in Ads domain. • Experience with building large-scale ranking infrastructure.