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Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2027 Start (PhD)

San Jose, United States of America💼 Full-time🗓 2026-09-28

Core

Design and build large-scale machine learning, recommendation, and ranking algorithms to power e-commerce systems serving 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, Research publications (KDD, NeurIPS, etc.), Entrepreneurship, Creativity

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