Machine Learning Engineer Intern - Global E-Commerce Content Recommendation - 2026 Summer (BS/MS)

Develop and improve industry-leading recommendation systems for global e-commerce content, partnering with ML researchers and engineers to ship end-to-end solutions. Explore generative recommendation methods such as diffusion models, prompt learning, and multimodal content generation for content discovery. Build multi-model, cross-scenario systems across livestreams, short videos, and search, and tackle key product challenges in content understanding, LLMs, robustness, and fairness. Internship runs 12 weeks.