Machine Learning Engineer Graduate (Global E-Commerce, Search) - 2026 Start (BS/MS)
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
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
E-commerce, Search, Large-scale Machine Learning, NLP, Computer Vision
Deliverable
production ML models | product features
Required skills
Machine learning, coding, data structures and algorithms, analysis and modeling, problem-solving, product sense
Preferred skills
Publication records in top journals/conferences, ACM-ICPC medal experience
Technologies
Large-scale ML frameworks, NLP tools, CV tools, 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
Graduate (Entry-level)
