Machine Learning Engineer Graduate (Search E-Commerce) - 2025 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.- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.