Machine Learning Scientist Intern (TikTok-Recommendation) - 2027 Start (PhD)
Core
Develop industry-leading recommendation systems and end-to-end ML solutions for content understanding, LLMs, robustness, and fairness to elevate user experience and platform safety.
Role type
PhD intern, machine learning scientist (recommendation systems)
Builds
Production recommendation models and intelligent solutions for TikTok's global markets
Domain
Social media, recommendation systems, large language models
Deliverable
production ML models
Required skills
deep learning frameworks (PyTorch, TensorFlow), deep neural network architectures, theoretical and empirical research, C/C++, Python, shell programming, data structures and algorithms
Preferred skills
applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing ML products, first-author publications in top AI conferences, internship in AI research organization
Technologies
PyTorch, TensorFlow, C, C++, Python
Responsibilities
Design and optimize full-stack ML pipelines from algorithm to infrastructure, collaborate on cross-functional product strategies, tackle high-priority product challenges in content understanding and fairness
Seniority
Intern, research-focused
