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.
Responsibilities
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.
Requirements
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.
Nice to Have
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).
Los Angeles / Singapore · US / SG · 70000+ employees
TikTok is a prominent social media platform owned by ByteDance, focused on short-form video content creation and sharing. It operates globally with a primary focus on mobile entertainment, advertising solutions, and e-commerce initiatives.