Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2027 Start
Core
Design and build large-scale machine learning, recommendation, and ranking algorithms to power e-commerce systems serving millions of users, alongside AI-powered merchant operation tools.
Role type
Machine Learning Engineer (Graduate)
Builds
Large-scale e-commerce recommendation systems, AI-powered merchant operation systems, and AI agents for affiliate strategy optimization.
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, NLP, LLMs, Multimodal machine learning
Preferred skills
Software engineering experience, Internship or research in e-commerce/recommendation/search, Publications at top-tier conferences (KDD, NeurIPS, etc.), Entrepreneurship mindset
Technologies
LLMs, NLP, Multimodal ML frameworks
Responsibilities
Design and build cutting-edge ML algorithms for real-time product recommendations; Develop AI agents to automate merchant operations and affiliate strategies; Apply state-of-the-art LLMs and multimodal ML 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.
