Machine Learning Engineer Graduate (Global E-Commerce, Search) - 2026 Start (PhD)
Core
Building the search algorithm and ranking system for a global e-commerce platform serving over 1 billion monthly users using large-scale machine learning, NLP, and multi-modal technology.
Role type
PhD-level Machine Learning Engineer (Search & Ranking)
Builds
End-to-end search engine, personalized shopping interest models, and ranking systems (recall, first/final stage, mixed row) for e-commerce, video, and live-stream content.
Domain
Global E-Commerce, Search, Large-scale Machine Learning, NLP, Computer Vision
Deliverable
production ML models
Required skills
PhD in Software Development/Computer Science/Engineering, coding, data structures and algorithms, analysis, modeling, problem-solving, machine learning, product sense
Preferred skills
publication records in top journals/conferences, ACM-ICPC medals
Technologies
NLP, CV, multi-modal technology
Responsibilities
Optimize query analysis and text relevance matching, implement multi-modal matching for video content, design and implement end-to-end ranking systems, improve personalized shopping interest models, solve supply and demand matching and business cold start problems
Seniority
PhD, Research & Development
