Senior Applied Scientist, New Initiatives

Amazon has co-founded and signed The Climate Pledge a commitment to reach net zero carbon by 2040. As a team we leverage GenAI sensors smart home devices cloud services material science and Alexa to build products that have a meaningful impact for customers and the climate.

In alignment with this bold corporate goal the Amazon Devices & Services organization is looking for a passionate talented and inventive Senior Applied Scientist to help build revolutionary products with potential for major societal impact. Great candidates for this position will have expertise in the areas of agentic AI applications deep learning time series analysis LLMs and multimodal systems. This includes experience designing autonomous AI agents that can reason plan and execute multi-step tasks building tool-augmented LLM systems with access to external APIs and data sources implementing multi-agent orchestration and developing RAG architectures that combine LLMs with domain-specific knowledge bases. You will strive for simplicity and creativity demonstrating high judgment backed by statistical proof.


Key job responsibilities
As a Senior Applied Scientist on the Energy Science team youll design and deploy agentic AI systems that autonomously analyze data plan solutions and execute recommendations. Youll build multi-agent architectures where specialized AI agents coordinate to solve complex optimization problems and develop tool-augmented LLM applications that integrate with external data sources and APIs to deliver context-aware insights.

Your work involves creating multimodal AI systems that synthesize diverse data streams while implementing RAG pipelines that ground large language models in domain-specific knowledge bases. Youll apply advanced machine learning and deep learning techniques to time series analysis forecasting and pattern recognition.

Beyond technical innovation youll drive end-to-end product development from research through production deployment collaborating with cross-functional teams to translate AI capabilities into customer experiences. Youll establish rigorous experimentation frameworks to validate model performance and measure business impact building AI-driven products with potential for major societal impact.

- 3 years of building machine learning models for business application experience
- PhD or Masters 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 large language models (LLMs) and generative AI applications

- Experience with EnergyPlus simulator or other building energy simulation tools
- Knowledge of IoT systems real-time data processing and edge computing
- Experience in energy domain applications such as load forecasting consumption analysis or smart home optimization
- Track record of innovation through patents open-source contributions or publications in top-tier conferences and journals

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 167100.00 - 226100.00 USD annually