Staff Machine Learning Engineer, Content Safety & Ecosystem -- Multimodality

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 Responsible Recommendation System team innovates in content understanding and recommendation system techniques to improve TikTok content safety and ecosystem. We leverage cutting-edge multi-modality modeling to develop robust, scalable solutions that safeguard user experience and drive product impact. The team is dynamic, fast-pacing, collaborative and impact-driven.Responsibilities - What You'II Do- Develop a critical content understanding product by leveraging cutting-edge multi-modality models.- Innovate on multi-modality and recommendation system techniques to build end-to-end scalable solutions.- Collaborate with engineers from diverse technical backgrounds and cross-functional teams to integrate advanced modeling techniques into production.- Drive data-driven improvements by conducting rigorous analysis and experiments to address complex ecosystem challenges.QualificationsMinimum Qualifications- Bachelor's degree in computer science or a related field, with relevant work experience.- Hands-on experience working on multi-modality models and building robust machine learning infrastructure.- Experience with at least one programming language like C++/Python or equivalent.- Strong statistical background with clear reasoning for conceptualizing and analyzing complicated content safety and ecosystem challenges.- Demonstrated ability in designing scalable machine learning products with a keen product design and abstraction sense.- Excellent communication and teamwork abilities, with a proven track record of collaborating in cross-functional settings.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