Drimva

TikTok

Machine Learning Scientist Intern (TikTok - Content Ecology - LLM application) - 2027 Start (PhD)

San Jose, California · Internship · Posted Oct 28, 2026

Education
PhD in Computer Science, Machine Learning, AI, or a related field.

About the job

Develop and deploy LLM, multimodal, and agentic AI models and frameworks to improve TikTok’s content ecosystem, collaborating with research, engineering, and business teams.

What you'll do

  • Develop and optimize LLM/MLLM, Agent, NLP, CV, and recommendation models, including multimodal solutions for video, text, and speech.
  • Build and optimize Agentic AI frameworks for planning, tool use, skills, and memory; train and fine-tune deep learning models.
  • Deploy and scale machine learning solutions in distributed computing environments and collaborate across teams.

What they ask for

  • PhD in Computer Science, Machine Learning, AI, or a related field.
  • Able to work for 12 weeks during Summer 2027.
  • Strong programming skills in Python, C++, or similar languages; hands-on experience with TensorFlow or PyTorch.
  • Solid understanding of machine learning fundamentals and the modern AI stack; proficiency integrating AI tools into knowledge discovery and research workflows.

Nice to have

  • Experience with distributed computing and optimizing AI models for real-world applications.
  • Knowledge of agent architectures and tools such as LangChain or LlamaIndex; publications in top AI/ML conferences or open-source AI contributions.

Tools

Python, C++, TensorFlow, PyTorch, LangChain, LlamaIndex

AI focus

Develops LLM/MLLM, multimodal, recommendation, and agentic AI models and systems, including video, text, and speech understanding; trains, fine-tunes, and deploys models.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)