Senior Applied Scientist, New Initiatives

Amazon • Seattle, WA

6d

About The Position

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.

Requirements

• 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 large language models (LLMs) and generative AI applications

Nice To Haves

• 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

Responsibilities

• design and deploy agentic AI systems that autonomously analyze data, plan solutions, and execute recommendations
• 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
• creating multimodal AI systems that synthesize diverse data streams, while implementing RAG pipelines that ground large language models in domain-specific knowledge bases
• apply advanced machine learning and deep learning techniques to time series analysis, forecasting, and pattern recognition
• drive end-to-end product development from research through production deployment, collaborating with cross-functional teams to translate AI capabilities into customer experiences
• establish rigorous experimentation frameworks to validate model performance and measure business impact, building AI-driven products with potential for major societal impact

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level