Applied Scientist, End User Messaging, AWS Applied AI Solutions Core Services

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Algorithms, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Cloud Computing, Develop Methodologies, Geospatial Intelligence (GEOINT), Machine Learning, Modeling Languages, Onboarding, Problem Solving Skills, Product Support, Production Systems, Resource Management, Safety Systems, Service Delivery, System Operations, Usage Analysis
LOCATION
Seattle, WA
POSTED
30+ days ago

As part of the AWS Applied AI Solutions organization, were advancing the frontier of trust and safety systems for cloud-based communication services. 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. Were building sophisticated AI systems that protect infrastructure from evolving threats while enabling legitimate high-volume users to operate without friction, with messaging services at scale as a key application area.

Key job responsibilities: • Develop advanced machine learning approaches and agentic systems that autonomously adapt to evolving threat patterns across cloud communication services. • Create behavioral detection models that quickly identify malicious patterns after onboarding rather than creating friction during signup. • Design intelligent resource allocation algorithms that optimize service delivery based on real-time feedback. • Develop frameworks operating at scale across diverse usage patterns, analyzing hundreds of thousands of daily active customers. • Research novel approaches combining AI agents with trust and safety systems to solve complex security problems. • Collaborate with engineering teams to integrate science components into production systems. • Conduct rigorous experimentation and establish evaluation frameworks to measure solution performance.

A Day in the Life As an Applied Scientist, youll develop fraud detection algorithms and AI-powered security systems while maintaining a clear path to customer impact. Youll investigate novel approaches to behavioral analysis, develop methods for real-time reputation assessment, and validate ideas through rigorous experimentation. Youll collaborate with other scientists and engineers to transform research insights into scalable solutions, work directly with enterprise customers to understand requirements, and help shape the future of cloud security technology.

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.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles