Machine Learning Engineer Graduate (Global E-Commerce, Search) - 2027 Start (PhD)
Core
Building the search algorithm for a global e-commerce business using large-scale machine learning, NLP, CV, and multi-modal technology to serve over 1 billion monthly users.
Role type
PhD-level Machine Learning Engineer (Search & Ranking)
Builds
End-to-end search engine, personalized shopping models, and next-generation AI search experiences
Domain
E-commerce, Search, Large-scale Machine Learning, NLP, Computer Vision
Deliverable
production ML models
Required skills
PhD in CS/SE/CE, coding, data structures & algorithms, analysis & modeling, problem-solving, machine learning, product sense
Preferred skills
top-tier publication records, ACM-ICPC medals
Technologies
NLP, CV, multi-modal technology, ranking systems (recall, first/final stage, mixed row), harness engineering, post-training optimization, rubric-based automated evaluation
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 ecosystem challenges like supply-demand matching and cold start; explore personalized AI search with focus on harness engineering and automated evaluation; work with software platforms for model deployment
Seniority
PhD, Research & Development
