Machine Learning Scientist Intern (Global E-Commerce Content Recommendation) - 2026 Summer (PhD)
Seattle
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: phdSkills: ["Research","Problem-solving","Collaboration","Cross-functional teamwork","Critical thinking"]Build and optimize end-to-end machine learning recommendation systems for global e-commerce content, improving user experience, content discovery, and platform security. Explore generative recommendation approaches such as diffusion models, prompt learning, and multimodal generation. Develop multi-model, cross-scenario systems across livestreams, short videos, and search, partnering with cross-functional teams to drive product impact.
