Applied Scientist, AWS Applied AI Solutions Core Services

Amazon • Seattle, WA

1d

About The Position

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.

Requirements

• 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

Nice To Haves

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

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

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
• Education Level: Ph.D. or professional degree