Sr. Applied Scientist, WW Sustainability

This role supports Amazon’s Worldwide Sustainability organization by building an AI/ML foundation for sustainability science and innovation. You will define strategy and implement tooling to identify, ingest, harmonize, store, and maintain strategic models and data for internal and external sources.

• Designing, implementing, and maintaining data and AI/ML infrastructure
• Identifying data needs for Gen AI and foundational model training and benchmarking
• Developing and optimizing robust data pipelines
• Ingesting, harmonizing, storing, and maintaining strategic models and datasets
• Supporting sustainability initiatives like carbon footprint and climate risk monitoring

You will design and maintain AI/ML infrastructure and robust data pipelines for large and complex sustainability datasets. The work includes enabling Gen AI and foundational model training and benchmarking, supporting initiatives like carbon footprinting and climate risk monitoring through the supply chain.

The ideal candidate is a senior applied scientist with strong AI/ML and data engineering foundations, including building data ingestion, harmonization, storage, and pipeline tooling. They have experience enabling Gen AI and foundational model training with benchmarking, and they can apply these capabilities to sustainability problems such as carbon footprinting and climate risk monitoring.