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

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Algorithm Design, Big Data, Data Structures, Distributed Systems, Machine Learning, Recommender Systems, Software Engineering, Large Language Models, Build Management, Information Technology, Search Engines, Multiaccess Edge Computing
- **Published:** August 7, 2026
- **Apply:** https://www.careerjet.com/job/us7589971a48bd6e2ae48449eb5c7a40af/eaa

## About the Role

Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Engineering, Operations Research or a related discipline.

 - Thorough understanding understanding of data structures and algorithms, with excellent problem-solving ability.
 - Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering
Preferred Qualifications:

 - Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
 - Internship experience or research experience, especially in e-commerce, recommendation, search engine
 - Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.

## Description

Design and build cutting-edge machine learning, recommendation, and ranking algorithms to power large-scale e-commerce recommendation systems that deliver high-quality, real-time product recommendations for millions of users.

 - Develop AI-powered merchant operation systems and AI agents that help merchants optimize affiliate strategies, improve business ROI, and lower the barrier to growing their business through automation.
 - Apply state-of-the-art LLMs , NLP, and multimodal machine learning to discover new business opportunities , driving sustainable growth for both merchants and creators.
 - Collaborate closely with product managers, engineers, and cross-functional teams to bring innovative AI solutions from research to production.
 - Stay at the forefront of advances in AI and machine learning, rapidly prototyping and productionizing new technologies to shape the future of intelligent commerce.
 - Build ML-agents to automate algorithm development workflows, accelerating experimentation, model iteration, evaluation, and deployment.


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