Machine Learning Engineer Intern; E-Commerce Recommendation Video PhD
Listed on 2026-10-11
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Ecommerce
Location:
Seattle
Employment Type:Intern
Job Code:A22971A
ResponsibilitiesGlobal E-Commerce (Tik Tok Shop) is one of Tik Tok's fastest-growing businesses and a core driver of the company's revenue growth. Our Global E-Commerce Content Recommendation team owns the end-to-end recommendation stack for e-commerce video and image-text content on Tik Tok worldwide — retrieval, ranking, and multi-queue blending; supply ecosystem and cold start; and the browsing-to-purchase experience for hundreds of millions of users.
We believe recommendation is being rewritten in the compute era.
-based collaborative filtering and supervised learning built today's systems and still run most of the industry — but their returns are diminishing, and we are betting the next order of magnitude on rebuilding the stack on LLM foundations. Our ambition is to build the most advanced recommendation system in the world, and the next generation after that.
We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
You will help build — and rewrite — an industrial recommendation system serving a billion-scale user base across short-video, livestream, and product scenarios, covering retrieval, pre-ranking, ranking, and blending end to end
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