Senior Machine Learning Engineer, Content Safety & Ecosystem -- Personalization

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 advanced personalization models to develop robust, scalable solutions that safeguard user experience and drive product impact.Responsibilities - What You'II Do- Develop and enhance personalization models to improve user recommendations while addressing challenging issues such as long-tail distributions, sparse data, and biased objectives.- Innovate on machine learning algorithms that power one of the most renowned recommendation systems, ensuring continuous optimization of TikTok's content ecosystem.- Design and implement end-to-end machine learning solutions that integrate seamlessly into production, working across the entire model lifecycle from data collection and feature engineering to model deployment and evaluation.- Collaborate with cross-functional teams and engineers from diverse technical backgrounds to translate technical innovations into tangible product improvements.- Apply data-driven approaches and rigorous experimentation to measure, analyze, and optimize model performance.QualificationsMinimum Qualifications- Bachelor’s degree in computer science or a related field, with relevant work experience; an advanced degree is preferred.- Strong expertise in machine learning with hands-on experience developing and deploying personalization models in production environments.- Proficiency in programming languages such as Python or C++, along with familiarity with leading machine learning frameworks.- Solid understanding of information retrieval techniques and their application in large-scale recommendation systems.- Demonstrated ability to solve complex machine learning challenges and optimize algorithms in scenarios with long-tail, sparse, or biased data distributions.- Excellent communication and collaboration skills, with a proven track record of working effectively within cross-functional teams.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