Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2027 Start (PhD)
Core
Design and build large-scale machine learning, recommendation, and ranking algorithms to power e-commerce systems for millions of users, alongside AI agents for merchant operations.
Role type
PhD-level Machine Learning Engineer (Recommendation & Search)
Builds
Real-time product recommendation systems, AI-powered merchant operation tools, and automated algorithm development workflows.
Domain
E-commerce, Recommendation Systems, Search, Large-scale Distributed Systems
Deliverable
production ML models
Required skills
Machine learning, Statistics, Distributed computing, Big data engineering, Data structures and algorithms, LLMs, NLP, Multimodal machine learning
Preferred skills
Software engineering, E-commerce domain knowledge, Recommendation/search research, Academic publications (KDD, NeurIPS, etc.), Entrepreneurship
Technologies
LLMs, NLP, Multimodal ML frameworks
Responsibilities
Design and build cutting-edge ML algorithms for real-time recommendations; Develop AI agents to optimize merchant affiliate strategies; Apply SOTA LLMs and NLP to discover business opportunities; Collaborate with cross-functional teams to productionize AI solutions; Rapidly prototype and deploy new ML technologies; Build ML-agents to automate algorithm development workflows.
Seniority
PhD Graduate, Research-to-Production IC
