Research Scientist Graduate (TikTok Recommendation-Multimodal and Generative AI) - 2026 Start (PhD)

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 talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026

We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis. We encourage you to apply early.

Responsibilities
1. Conducting development and research on cutting-edge CV, NLP, multi-modality, LLM, generative modeling
2. Following SoTA progress in relevant fields and transforming ideas into production
3. Life-cycle model development, from model training, deployment, and maintenance, to 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 learning
3. Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet, Caffe/Caffe2).
4. Familiar with deep neural network architectures such as transformer/SSM/CNN/RNN/LSTM etc.
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 fields
2. Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR