Machine Learning Scientist Intern (TikTok-Recommendation) - 2025 Fall (PhD)

Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.

Kindly note that this position is for candidates who are able to start in Fall 2025 and commit to a 12-week internship with the team.

In this role, you'll have the opportunity to:

• Drive the development of industry-leading recommendation systems that elevate user experience, strengthen platform safety, and empower a vibrant content ecosystem.
• Deliver impactful, end-to-end machine learning solutions that tackle high-priority product challenges related to content understanding, LLMs, robustness, and fairness.
• Own and optimize the full-stack ML pipeline-from algorithm design to system infrastructure-to continuously push the boundaries of recommendation performance.
• Collaborate with cross-functional teams to craft innovative product strategies and develop intelligent solutions that fuel TikTok's growth in key global markets.

Qualifications

Minimum Qualifications:

• Currently pursuing a PhD 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.

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 top AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.);
• 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.