Applied Scientist, AWS Applied AI Solutions Core Services

Applied Scientist, AWS Applied AI Solutions Core Services

Job | Amazon Web Services, Inc.

As part of the AWS Applied AI Solutions organization, we’re building the future of AI-powered enterprise services across multiple domains. Our vision is to be the trusted foundation for transforming every business with Amazon AI teammates. Our mission is to deliver turnkey, enterprise-grade foundational AI capabilities that create delightful AI powered solutions. We’re developing sophisticated AI systems that address complex challenges across autonomous operations, geospatial intelligence, trust and safety, IoT services, and foundational AI platforms.

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, 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

A Day in the Life

As an Applied Scientist, you’ll work on challenging problems that span multiple domains within AWS Core Services. You might develop video processing architectures for autonomous systems, create optimization solvers for geospatial applications, build behavioral detection models for fraud prevention, design anomaly detection systems for IoT devices, or develop specialized AI capabilities for platform services. You’ll investigate novel approaches, validate ideas through rigorous experimentation with real data, and collaborate with scientists and engineers to transform research insights into scalable solutions.

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.

Basic

Qualifications

• 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

Preferred Qualifications

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

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