Applied Scientist, AWS Applied AI Solutions Core Services

Key job responsibilities

• Develop and productize AI solutions that address complex technical challenges requiring novel approaches beyond off-the-shelf tools
• Design and implement machine learning systems for diverse applications including video understanding, geospatial optimization, fraud detection, anomaly detection, and automation
• Create scalable algorithms and models that generalize across multiple customer use cases and business problems
• Conduct rigorous experimentation with state-of-the-art techniques including large language models, computer vision, federated learning, or physics-based modeling, and agentic AI systems
• Collaborate with engineering teams to integrate science components into production systems with measurable customer impact
• Work directly with product teams to understand requirements, frame ambiguous problems into tractable science solutions, and validate approaches through proof of concepts
• Establish evaluation frameworks and best practices for measuring solution performance and business impact
• Mentor other scientists and contribute to the broader scientific community through publications when appropriate

About The Team

Our team is a central science organization supporting multiple product teams across AWS Core Services. We tackle fundamental challenges in AI and machine learning that require novel approaches beyond off-the-shelf solutions. Working at the intersection of machine learning, large language models, and domain-specific applications, we develop practical techniques that advance the state-of-the-art while maintaining a clear path to customer impact. Our team builds deep domain expertise across geospatial intelligence, trust and safety systems, autonomous operations, and other critical areas, collaborating closely with engineering teams to transform research insights into scalable production solutions.