Recommendation Algorithm Intern – Machine Learning

Internship at TikTok's recommendation algorithm team, focusing on developing and optimizing machine learning models for content recommendation, safety, and fairness. Interns will work on end-to-end ML solutions and collaborate with cross-functional teams.

• Develop industry-leading recommendation systems to enhance user experience and platform safety.
• Deliver end-to-end machine learning solutions for content understanding, LLMs, robustness, and fairness.
• Optimize the full-stack ML pipeline from algorithm design to system infrastructure.
• Collaborate with cross-functional teams to craft product strategies and drive growth in global markets.

• Currently pursuing a PhD in computer science, machine learning, or related field.
• Good knowledge of theoretical and empirical research in addressing research problems.
• Solid experience with at least one deep learning framework (e.g., PyTorch, TensorFlow).
• Familiarity with deep neural network architectures.

• Research experience in applied machine learning, ML infrastructure, large-scale recommendation systems, or market-facing ML products.
• Strong first-author publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL).