Job
Machine Learning Engineer Graduate (Search E-commerce) - 2024 Start (PhD)
TikTok
Sep 22
San Jose
AI generated summary
- The ideal candidate for the Machine Learning Engineer Graduate (Search E-commerce) position at TikTok should have a background in Software Development or a related technical discipline, excellent coding skills, strong analytical and problem-solving abilities, and the ability to work with complex data. Publication records in top journals or conferences and experience in winning ACM-ICPC medals are desirable.
- The Machine Learning Engineer Graduate at Tiktok will be responsible for improving search quality and user experience, optimizing query analysis and text relevance matching, implementing multi-modal matching, and enhancing the end-to-end shopping experience. They will also design and implement the ranking system, improve users' personalized shopping interests model, and address challenging problems related to supply and demand matching and sustainable business growth.
Description
The Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world. Our mission is to build a world where "there is no hard-to-sell good-priced product in the world".
We are looking for talented individuals to join our team in 2024. 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.
Requirements
- Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Excellent coding skills. 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.
Education requirements
Area of Responsibilities
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 healthy 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.
Details
Work type
Full time
Work mode
office
Location
San Jose