Senior AI Scientist: Foundation Models for Sustainability

Socket.dev; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon's Sustainability Science and Innovation (SSI) is seeking a Senior Applied Scientist to own a research agenda at the intersection of AI, data, and sustainability. You will define a science roadmap, test hypotheses, and lead solutions from early experiments to production deployment at scale.

You will work with economists, environmental scientists, engineers, and product leaders to determine which scientific and technical approaches yield decision-ready results for large-scale sustainability

Qualifications

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

Responsibilities

• Own the research agenda and multi-year science roadmap for AI-enabled sustainability.
• Develop and evaluate modern AI and ML methods, including foundation models and retrieval-augmented generation.
• Establish ex ante evaluation criteria, benchmarks, and launch thresholds.
• Lead the full scientific lifecycle, from problem formulation and experimentation through production deployment.
• 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.

Skills

ML model building

Programming: Java, C++, Python

Deep learning

Education

PhD or Masters with 6+ years of applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon's Sustainability Science and Innovation (SSI) is seeking a Senior Applied Scientist to own a research agenda at the intersection of AI, data, and sustainability. You will define a science roadmap, test hypotheses, and lead solutions from early experiments to production deployment at scale.

You will work with economists, environmental scientists, engineers, and product leaders to determine which scientific and technical approaches yield decision-ready results for large-scale sustainability