TikTok 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. Our team's mission is to empower genAI and content understanding in TikTok businesses.
Computer vision and natural language processing are important dimensions in both content generation and understanding. We are working on various foundational models, including multi-modality pretraining, multi-modal large language model, image generation, video generation etc.
As a genAI team on the business side, we try to succeed in both achieving business metric gains (recommendation metrics), and also producing state-of-the-art research outputs.
We are looking for strong research scientist 2025 Graduates , who are excited about growing their business understanding, building scalable and high-performance models and systems, and partnering across disciplines with global teams, in pursuit of excellence.
Responsibilities 1. Conducting development and research on cutting-edge CV, NLP, multi-modality, LLM, generative modeling2.
Following SoTA progress in relevant fields and transform the ideas into production3. Life-cycle model development, from model training, deployment, maintenance, till its use in business scenarios.
Minimum Qualifications : 1. PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
2. Experience in one of more areas of computer vision, natural language processing and machine learningSolid knowledge and experience with at least one major deep learning framework (.
PyTorch, Tensorflow, MXNet, Caffe / Caffe2).3. Familiar with deep neural network architectures such as transformer / SSM / CNN / RNN / LSTM etc.
4. Strong analytical and problem solving skills. Ability to work collaboratively in cross-functional teams. Preferred Qualifications : 1.
Degree in computer science, electrical engineering or related fields2. Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR