Senior AI Scientist: Foundation Models for Sustainability

Amazon; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Amazon is seeking a Senior Applied Scientist to drive the research roadmap for AI-enabled sustainability. You will develop advanced ML methods and lead experimentation through production deployment, collaborating with economists, environmental scientists, and product leaders.

You will define governance for models and data, and mentor scientists while shaping evaluation standards across Amazon scale.

Qualifications

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

Responsibilities

• Own the research agenda and multi-year science roadmap for AI-enabled sustainability.
• Develop and evaluate modern AI methods including foundation models and multimodal approaches.
• Establish ex ante evaluation criteria, benchmarks, and launch thresholds.
• Lead the full scientific lifecycle from problem formulation to deployment.
• Define the architecture and governance for models and datasets.
• Influence senior science, engineering, product, and sustainability stakeholders.
• Mentor scientists and raise scientific standards through reviews and publications.

Skills

ML model development

Java

C++

Python

Neural networks

Education

PhD or MSc + 6+ years research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon is seeking a Senior Applied Scientist to drive the research roadmap for AI-enabled sustainability. You will develop advanced ML methods and lead experimentation through production deployment, collaborating with economists, environmental scientists, and product leaders.

You will define governance for models and data, and mentor scientists while shaping evaluation standards across Amazon scale.