TikTok, Seattle, Washington
We are looking for talented individuals to join us for an internship in 2027. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
Team Introduction Global E-commerce is an e-commerce business built on TikTok (also known as TikTok Shop). It aims to become the preferred platform where users discover and purchase high-quality products at competitive prices. Across multiple scenarios—including live-streaming e-commerce, video-based commerce, and marketplace (shelf-based) commerce—the team is committed to delivering a more personalized, proactive, and efficient shopping experience for users, while providing merchants with a stable and reliable platform.
Its mission is to bring unique and high-quality products to global markets and make a better lifestyle easily accessible.
The Data–E-commerce team serves as the core algorithm and technical backbone of the Global E-commerce business. It focuses on algorithmic innovation in the e-commerce domain, helping users efficiently discover products of interest, ensuring transaction safety, and improving intelligence across all stages of the transaction process. Here, you will collaborate with top-tier product and engineering teams to tackle both technical and business challenges, driving the deep integration of advanced technologies into real-world e-commerce scenarios. Project Overview
The Global E-commerce ecosystem has accumulated massive heterogeneous data, including user behavior, product images and text, multimedia content, sales data, and logistics time series. However, traditional models still face significant limitations in long-term forecasting, cross-modal understanding, and complex decision-making.
This project aims to build a foundational large model tailored for Global E-commerce scenarios. It will unify key elements such as users, products, content, logistics, and inventory into a single modeling framework. On top of this, a modular, pluggable Agent framework will be designed to integrate capabilities such as task planning, tool usage, multi-turn interaction, and environmental awareness. This enables end-to-end intelligent decision-making across workflows like demand forecasting, traffic allocation, and personalized recommendation.
In-depth research experience in multimedia or computer vision fields, including but not limited to image search, image/video classification and recognition, image segmentation, object detection, OCR, graph neural networks, multimodal learning, and unsupervised/self-supervised learning. Experience with large-scale CV/multimodal models, particularly in e-commerce scenarios, including developing and optimizing multimodal models for e-commerce videos and products.
Ability to integrate LLMs with video/product representations to support tasks such as multimodal classification, video QA, cross-modal retrieval, and product categorization, with performance significantly surpassing production models. Strong hands-on experience, with achievements in competitions such as Kaggle, COCO, ImageNet, ActivityNet, or ICPC. Familiarity with state-of-the-art research, with publications in accredited conferences such as CVPR, ICCV, or ECCV.
In-depth research experience in NLP, including but not limited to pretraining techniques, natural language understanding, multilingual and cross-lingual learning, natural language generation, transfer learning, and semi-supervised learning. Experience with large language models (LLMs), including developing NLP models to unify tasks in e-commerce scenarios and applying them in real-world business contexts. Strong practical experience, with achievements in competitions such as Kaggle, GLUE, SuperGLUE, or CLUE. Familiarity with state-of-the-art research, with publications in accredited conferences such as ACL or EMNLP.
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