Sr. Applied Scientist, Foundation Model Build, WW Sustainability

• Key job 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.
• About the team
• 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
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

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