TikTok
Research Scientist Intern – TikTok Recommendation(NextGen LLM) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
About the job
Research and develop large-scale, multimodal recommendation systems using advanced machine learning to improve personalized content distribution and user engagement.
What you'll do
- Design and develop scalable recommendation systems for personalized user experiences.
- Apply large-model techniques, including LLMs and MLLMs, to improve recommendation performance and accuracy.
- Collaborate with infrastructure engineers, program managers, and researchers on recommendation relevance, diversity, and engagement.
What they ask for
- Currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
- Experience in at least one of computer vision, natural language processing, or machine learning.
- Experience with at least one major deep learning framework.
- Familiarity with deep neural network architectures such as transformers, SSM, CNN, RNN, or LSTM.
Nice to have
- Research experience shown through projects, publications, or open-source contributions.
- Publications at venues such as SIGGRAPH, CVPR, ICCV, ICML, NeurIPS, or ICLR.
Tools
LLM, MLLM, PyTorch, Tensorflow, MXNet, Caffe/Caffe2, transformer, SSM
AI focus
Develop recommendation large models, multimodal semantic representations, and agentic recommendation systems with reasoning, tool invocation, self-reflection, and long-horizon planning capabilities.
Model-written summary · the original posting is authoritative