Machine Learning Research Engineer, WW Sustainability

Join Amazon's Worldwide Sustainability (WWS) organization at the forefront of environmental and social initiatives. As a Machine Learning Research Engineer, you'll develop advanced AI solutions for sustainability using Generative AI, Large Language Models, and Agentic AI. The role focuses on building sophisticated data and modeling pipelines for sustainability applications, including environmental footprinting, materials innovation, and supply chain risk management.

You'll work on defining strategy and implementing tools to identify, ingest, and harmonize diverse datasets from multiple sources. The position involves developing Retrieval-Augmented Generation (RAG) pipelines, implementing custom vector indexing, and utilizing hybrid search strategies for enhanced data retrieval and model performance.

Key responsibilities include designing data modeling infrastructure, implementing intelligent data acquisition systems, and driving cross-functional collaboration for strategic impact. You'll work closely with scientists and sustainability specialists to achieve ambitious environmental goals while staying current with emerging AI technologies.

The role offers opportunities for diverse experiences and growth within Amazon's inclusive culture. The team values work-life harmony and provides flexible arrangements. You'll have access to mentorship, career development resources, and be part of Amazon's mission to become Earth's Best Employer.

The position combines technical expertise in AI/ML with a focus on environmental impact, making it ideal for candidates passionate about applying advanced technology to solve global sustainability challenges. You'll be part of a team driving innovation in environmental footprinting, materials science, and sustainable supply chain management while contributing to Amazon's long-term sustainability strategy.