(General Hire) Research Scientist Graduate - TikTok Recommendation - 2026 Start (PhD)
Skip the busywork
ApplyBolt rewrites your resume for this exact role and hits submit. You just pick the jobs.
About this role
Responsibilities
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.
This opening is part of the general hiring process for the TikTok Recommendation organization. Applications will be evaluated by multiple teams within the Recommendation organization to ensure the best alignment based on skills and interests.
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
- Conducting development and research on cutting-edge CV, NLP, multi-modality, LLM, generative modeling
- Following SoTA progress in relevant fields and transform the ideas into production
- Life-cycle model development, from model training, deployment, maintenance, till its use in business scenarios.
Qualifications
Minimum Qualifications:
- PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
- Experience in one of more areas of computer vision, natural language processing and machine learning
- Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet, Caffe/Caffe2).
- 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:
- Degree in computer science, electrical engineering or related fields
- Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR