Machine Learning Scientist Intern (Global E-Commerce Content Recommendation) - 2026 Start (PhD)

Responsibilities

The team introduces itself as a central player in the company, driving critical product decisions and platform growth. It comprises 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.

In this role, you'll have the opportunity to build an industry-leading recommendation system, improving user experience, content ecosystem, and platform security; explore generative recommendation techniques such as Diffusion Models, prompt learning, and multimodal content generation; build multi-model and cross-scenario systems enabling unified recommendation across livestreams, short videos, and search; deliver end-to-end machine learning solutions to address critical product challenges; own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance; and work with cross-functional teams to design product strategies and build solutions to grow TikTok in important markets.

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
• 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 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

Benefits

Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Job Information

[For Pay Transparency] Compensation Description (Hourly) - Campus Intern The hourly rate range for this position in the selected city is $60- $60. Benefits may vary depending on the nature of employment and the country work location.