Sr. Applied Scientist, Foundation Model Build, WW Sustainability
Core
Lead the research agenda and full scientific lifecycle for AI-enabled sustainability solutions, translating research hypotheses into production-ready methods for global-scale decision-making.
Role type
Senior Applied Scientist (Foundation Model & Sustainability Science)
Builds
AI systems for carbon estimation, climate-risk monitoring, and responsible supply chain assessment
Domain
Sustainability Science + Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
foundation model development, multimodal model development, retrieval-augmented generation, model adaptation, neural deep learning, distributed systems architecture, data governance, hypothesis formulation, evaluation standard establishment
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large scale distributed systems
Responsibilities
Own the multi-year science roadmap for AI-enabled sustainability solutions; Develop and evaluate modern AI and machine-learning methods; Establish ex ante evaluation criteria and launch thresholds; Lead the full scientific lifecycle from problem formulation to post-launch measurement; Define architecture and governance for strategic models and datasets; Mentor scientists and raise scientific standards
Seniority
Senior, hands-on IC with research leadership
