(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2026 Fall (BS/MS)

About the role

The recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers who support and innovate on production recommendation models and drive product impact. The team is fast-paced, collaborative, and impact-driven.

Qualifications

• Currently pursuing a Master's degree with a background in computer science, machine learning, or similar fields
• Good knowledge of theoretical and empirical research in addressing research problems
• Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch, TensorFlow) and familiarity with deep neural network architectures
• Able to commit to working for 12 weeks during Summer 2026

Preferred Qualifications

• Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product
• Strong first-author publications record in accredited AI conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL)
• Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design
• Internship experience in an AI research organization