Tech Lead Manager, TikTok Responsible Recommendation System

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 TeamRecommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is dynamic, fast-pacing, collaborative and impact-driven.It is critical to ensure that the system is behaving responsibly and are trustworthy. The team develops and deploys algorithm solutions that are not only accurate, but also explainable, fair, privacy-preserving, controllable, and robust. This broad area of research and applications is referred to as trustworthy recommendation system. Responsibilities - What You'II Do- Lead design and development of product and algorithm solutions to enhance explainability, fairness, controllability and robustness of recommendation system- Own the full stack machine learning system and optimize algorithms and infrastructure to make improvement- Work with cross functional teams to design product strategies and build solutions to improve trustworthiness of recommendation system- Build connections with internal and external stakeholders and enhance the trustability of recommendation system- Mentor team members to growQualificationsMinimum Qualifications- Bachelor degree in computer science or a related major, with 4+ years of related work experience- Strong software development experience with C++, Python or other programming language- Experience in one or more of the following areas: machine learning infrastructure, large-scale recommendation system, privacy-preserving machine learning- Strong communication and teamwork skills- Passion about techniques and solving challenging problemsTikTok 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