Senior AI Scientist: Foundation Models for Sustainability

Amazon Science; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Science is seeking a Senior Applied Scientist to lead a research agenda at the intersection of artificial intelligence, data, and sustainability. You will define the science roadmap, test hypotheses, and drive solutions from prototyping to production deployment at Amazon scale.

You will collaborate with economists, environmental scientists, engineers, and product leaders to advance AI-driven sustainability, including foundation models and retrieval-augmented generation, while ensuring

Qualifications

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Responsibilities

• Own the research agenda and multi-year science roadmap for AI-enabled sustainability solutions.
• Develop and evaluate modern AI and machine-learning methods, including foundation models, multimodal models, retrieval-augmented generation, and model adaptation.
• Establish ex ante evaluation criteria, benchmarks, and launch thresholds that distinguish promising prototypes from production-ready methods.
• Lead the full scientific lifecycle, from problem formulation and experimentation through production deployment and post-launch measurement.
• Define the architecture and governance required to make strategic models and datasets discoverable, traceable, reproducible, and reusable.
• Influence senior science, engineering, product, and sustainability stakeholders across organizational boundaries.
• Mentor scientists and raise the scientific standard through technical reviews, publications, and reusable methods.

Job description

Amazon Science is seeking a Senior Applied Scientist to lead a research agenda at the intersection of artificial intelligence, data, and sustainability. You will define the science roadmap, test hypotheses, and drive solutions from prototyping to production deployment at Amazon scale.

You will collaborate with economists, environmental scientists, engineers, and product leaders to advance AI-driven sustainability, including foundation models and retrieval-augmented generation, while ensuring