Machine Learning Scientist, TikTok Core Feed Recommendation

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.1. Research and develop large-scale recommender systems for personalized, engaging user experiences, focusing on scalability, accuracy, and performance. 2. Apply advanced machine learning and deep learning techniques to optimize recommendation algorithms for TikTok’s diverse user base. 3. Manage the end-to-end lifecycle of recommender models, from training and fine-tuning to deployment, monitoring, and continuous improvement. 4. Analyze complex data to uncover user preferences, behaviors, and trends, driving personalization and enhancing TikTok’s recommendation capabilities. 5. Collaborate with cross-functional teams (infrastructure, product, research, etc.) to design and implement innovative solutions that improve the relevance and diversity of TikTok recommendations. QualificationsMinimum Qualifications 1. Ph.D. or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. 2. Experience in one or more areas of recommender systems, machine learning, computer vision, or natural language processing. 3. Proficiency in programming skills, solid foundation in data structures and algorithms.4. Strong familiarity with deep learning architectures such as transformers, CNNs, RNNs, LSTMs, etc. 5. Excellent analytical and problem-solving skills, with the ability to collaborate effectively in cross-functional teams. Preferred Qualifications 1. Ph.D. in Computer Science, Electrical Engineering, or related fields. 2. Experience in building large-scale recommender systems that handle vast, diverse datasets and complex user interactions. 3. Publications in top-tier venues such as RecSys, SIGGRAPH, CVPR, ICCV, ICML, NeurIPS, ICLR, or similar conferences/journals. 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