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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

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)