Machine Learning Engineer Intern (Global E-Commerce, Search) - 2027 Start (PhD)
Core
Build and optimize large-scale search algorithms for a global e-commerce platform serving over 1 billion monthly users using NLP, CV, and multi-modal technologies.
Role type
PhD intern, machine learning engineer (search)
Builds
End-to-end search engine (recall, ranking, mixed row) and personalized shopping models
Domain
E-commerce, search, NLP, computer vision
Deliverable
production ML models
Required skills
PhD in CS/SE/CE, coding, data structures & algorithms, analysis & modeling, machine learning, product sense
Preferred skills
top-tier publication records, ACM-ICPC medals
Technologies
NLP, computer vision, 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; explore personalized AI search with harness engineering and automated evaluation; work with software platforms for model deployment.
Seniority
Intern, research & development
