Machine Learning Engineer Graduate (Global E-Commerce, User Growth & Intelligent Marketing) - 2026 Start (BS/MS)
Core
Building algorithm and big data solutions for e-commerce innovation, including recommendation, search, risk control, intelligent customer service, and logistics optimization to help users discover products and improve merchant operations.
Role type
Machine Learning Engineer (Graduate)
Builds
Recommendation engines, user growth systems, intelligent marketing algorithms, risk control models, and logistics optimization tools.
Domain
E-commerce, User Growth, Intelligent Marketing
Deliverable
production ML models | product features
Required skills
algorithms and data structures, coding, user value modelling, personalized messaging, recommendation systems, recall/sorting optimization, uplift modelling, operations research, sequence modelling, multi-scenario modelling optimization
Preferred skills
published papers in top AI conferences, ACM/ML competition results, LTV estimation
Technologies
(none explicitly listed)
Responsibilities
Optimize e-commerce growth and marketing algorithms; Establish user lifecycle data and value systems; Implement product solutions for user growth engines; Optimize recall/sorting algorithms for new user recommendations; Optimize intelligent marketing algorithms using uplift models and operations research.
Seniority
Graduate (Entry-level)
