Machine Learning Engineer Graduate - Global E-commerce Recommendation/Search - 2026 Start (PhD)
Core
Design and build large-scale recommendation and search algorithms for e-commerce, including user interest modeling, retrieval, ranking, and trust/safety systems.
Role type
Senior IC machine learning engineer (recommendation/search)
Builds
Large-scale e-commerce recommendation systems (10M-100M scale), user interest models, search ranking, and trust/safety algorithms
Domain
E-commerce, Machine Learning, Deep Learning
Deliverable
production ML models
Required skills
Machine learning, Deep learning, NLP, Data structures and algorithms, Linux development
Preferred skills
Search/recommendation/ad algorithms, E-commerce domain knowledge
Technologies
NLP frameworks, Linux environments
Responsibilities
Conduct cutting-edge research in retrieval and recommendation algorithms; Build user interest models to explore latent interests; Apply ML to business scenarios like search ranking and video understanding; Implement risk control and content safety algorithms.
Seniority
PhD level, Research & Development
