Amazon Applied Scientist WW Sustainability 

United States, Washington, Seattle 

587089605

As an Applied Scientist, you’ll be responsible for designing, implementing and deploying state of the art solutions, to build AI-based solutions (LLM models, agents, copilots, RAGs, etc.) at scale for our long-term sustainability and climate commitments. Some examples of the problems you will work on include web-scale document extraction and conversation as they relate to sustainability, generation of decision-grade environmental impact measurements for abatement planning, tracking and reasoning, generation of assurance-grade ESG reports, novel supplier risk assessment, automated claims and substantiation, identification and sortation of waste streams, measuring the environmental impact of generative AI across its life cycle and more. You will ensure AI-based experiences delivered by Amazon uphold our Climate Pledge sustainability commitments and develop data-driven foundational services that make sustainability more effective and efficient. You will collaborate with a diverse set of sustainability scientists, subject matter experts, engineers, as well as internal partners and external researchers to develop innovative technologies that solve some of the complex and hardest sustainability problems as part of the listed examples above.
Key job responsibilities- Conduct research on new machine-learning and AI models and develop comprehensive data foundation, accurate and scalable methods to solve our hardest sustainability problems.
- Work closely with software engineers to deliver end-to-end solutions into production
- Partner with sustainability SMEs (carbon, water, waste, ESG, social responsibility, etc.), tech and science teams to drive modeling and technical design for complex problems, define • Develop scalable and effective machine-learning models and optimization strategies to solve business problems.
- Conduct research on new machine-learning and AI models and develop comprehensive data foundation, accurate and scalable methods to solve our hardest sustainability problems.
- Work closely with software engineers to deliver end-to-end solutions into production
- Partner with sustainability SMEs (carbon, water, waste, ESG, social responsibility, etc.), tech and science teams to drive modeling and technical design for complex problems, define

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Develop scalable and effective machine-learning models and optimization strategies to solve business problems.
- Conduct research on new machine-learning and AI models and develop comprehensive data foundation, accurate and scalable methods to solve our hardest sustainability problems.
- Work closely with software engineers to deliver end-to-end solutions into production
- Partner with sustainability SMEs (carbon, water, waste, ESG, social responsibility, etc.), tech and science teams to drive modeling and technical design for complex problems, define

- Experience using Unix/Linux
- Experience in professional software development