Drimva

TikTok

Machine Learning Scientist Intern (TikTok-Recommendation) - 2027 Start (PhD)

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

Education
Currently pursuing a PhD in computer science, machine learning, or a similar field.

About the job

Develops and optimizes recommendation systems and end-to-end machine learning solutions to improve user experience, platform safety, content understanding, and product performance.

What you'll do

  • Develop recommendation systems and machine learning solutions for product challenges, including content understanding, LLMs, robustness, and fairness.
  • Optimize the full-stack ML pipeline, from algorithm design to system infrastructure.
  • Collaborate with cross-functional teams on product strategies and intelligent solutions for global markets.

What they ask for

  • Currently pursuing a PhD in computer science, machine learning, or a similar field.
  • Good knowledge of theoretical and empirical research methods for addressing research problems.
  • Experience with at least one popular deep learning framework and familiarity with deep neural network architectures.

Nice to have

  • Research experience in applied machine learning, ML infrastructure, large-scale recommendation systems, or market-facing ML products; strong first-author publications in leading AI conferences or journals.
  • Proficiency in C/C++, Python, and shell programming, with understanding of data structures and algorithm design; internship experience in an AI research organization.

Tools

PyTorch, TensorFlow, C/C++, Python

AI focus

Research and development of recommendation systems and end-to-end ML solutions, including work on content understanding, LLMs, robustness, and fairness.

Model-written summary · the original posting is authoritative

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