Engineer Graduate: (Machine Learning Engineer Graduate - Search E-Commerce - Seattle) - 2026 Start (PhD)

Team Introduction

:The Search E-Commerce team spearheads the development of TikTok's advanced search algorithm, crucial for its booming global e-commerce platform. Utilizing state-of-the-art large-scale machine learning, along with cutting-edge NLP, CV, and multi-modal technologies, we are committed to creating a top-tier search engine. Our goal is to deliver the best e-commerce search experience to over a billion monthly TikTok users worldwide. Our mission is to create a world where "no reasonably priced product is difficult to sell." We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates globally. Responsibilities: - Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. - Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. - Comprehensively improve the end-to-end shopping experience from browsing to after-sales. - Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. - Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. - Promote the robust development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. - Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.

Minimum Qualifications: - PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. - Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - Familiar with one or more of the following areas: recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal machine learning. - Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework. Solid knowledge of data structure and algorithms. - Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. - Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.