[Remote] Machine Learning Scientist Intern - Global E-Commerce Content Recommendation - 2026 Summer (PhD)

Note: The job is a remote job and is open to candidates in USA. TikTok is the leading destination for short-form mobile video, and they are seeking a Machine Learning Scientist Intern for their Global E-Commerce Content Recommendation team. This role involves building industry-leading recommendation systems and exploring generative recommendation techniques to enhance user experience and platform security.

Responsibilities

• Build industry-leading recommendation system, improving user experience, content ecosystem and platform security
• Explore generative recommendation techniques, including Diffusion Models, prompt learning, and multimodal content generation, to unlock new capabilities in content discovery
• Build multi-model and cross-scenario systems enabling unified recommendation across livestreams, short videos, and search
• Deliver end-to-end machine learning solution to address critical product challenges
• Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance
• Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets

Skills

• 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 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

Benefits

• Day one access to health insurance
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year)
• Housing allowance

Company Overview

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