Machine Learning Engineer Graduate - Global E-commerce Recommendation/Search - 2026 Start (PhD)
Core
Design and build large-scale e-commerce recommendation, search, and trust/safety algorithms to help users discover products and ensure secure shopping experiences.
Role type
PhD-level Machine Learning Researcher (Recommendation/Search)
Builds
Large-scale recommendation systems (10M-100M users), user interest models, search ranking, and trust/safety algorithms
Domain
E-commerce, Recommendation Systems, Trust & Safety
Deliverable
production ML models
Required skills
Machine learning, Deep learning, NLP, Data structures and algorithms, Linux development
Preferred skills
Search algorithms, Recommendation algorithms, E-commerce domain knowledge
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
Seniority
PhD, Research & Development
