Big Data Engineer Graduate (Global E-commerce Recommendation Architecture) - 2026 Start (BS/MS)

Build and optimize large-scale recommendation infrastructure for e-commerce experiences, including designing offline data architectures and scalable high-performance storage and computing systems. You’ll develop distributed systems for massive data, troubleshoot production stability with reliability tooling, and transform raw data into insights using analytics, data mining, modeling, NLP, and machine learning. Work closely with applied ML engineers in a fast-moving, globally distributed team.