Tech Lead Software Engineer, Ads ML Infrastructure

DescriptionTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.Join us.About the teamThe 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 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.• Develop, drive, and execute the technical vision and roadmap for the ads ML infrastructure team.• 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.QualificationsMinimum requirements• Bachelor's degree in computer science or related technical disciplines.• 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 requirements• Experience in Ads domain.• Experience with building large-scale ranking infrastructure.TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2RegularExperienced