[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Bellevue, WA # Applied Scientist US, WA, Bellevue Research & Science Listed on Amazon’s official careers site. Posted October 14, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10578659/applied-scientist) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist ## Job description AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset. As cloud technologies continue to transform businesses, skilled individuals are in high demand. At AWS Training and Certification (T&C), we are passionate about revolutionizing the way people advance their cloud skills and careers. We equip diverse builders of today and tomorrow with the knowledge they need to leverage the power of the AWS Cloud. Join our dynamic, fast-growing team and help us empower our customers to build cloud skills. ### Key job responsibilities - Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries - Drive end-to-end Machine Learning and GenAI projects that have a high degree of ambiguity, scale, complexity. - Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production - Work with a scientists and software engineers to deliver machine-learning and science solutions to production. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Be the technical practitioner in AI/ML; lead efforts within this team and across other teams; research new and innovative science approaches. - Able to communicate scientific methodology clearly to audiences from diverse backgrounds ### About the team Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. ## At a glance - Posted by the employer: Oct 14, 2026 - First seen by OpenNash: Oct 18, 2026 - Last checked: Oct 18, 2026 - Listed for: 4 days - Location: US, WA, Bellevue[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10578659/applied-scientist) ## More jobs at Amazon ### [Applied Scientist - Agentic AI, Amazon Fulfillment Technology](https://jobs.opennash.com/companies/amazon/jobs/ae51c5b4471f133a5fce/) US, WA, Bellevue ### [Applied Scientist II, Central Learning Solutions Science](https://jobs.opennash.com/companies/amazon/jobs/384e0353af221b00801e/) US, WA, Bellevue ### [Applied Scientist, Artificial General Intelligence, Foundational AI](https://jobs.opennash.com/companies/amazon/jobs/21484fc15b2e3ac58097/) US, WA, Bellevue ### [Applied Scientist, Artificial General Intelligence, Frontier AI](https://jobs.opennash.com/companies/amazon/jobs/62d928f962c52fafd133/) US, WA, Bellevue ## Similar jobs at other companies ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/6887d8f40d7a9e34526e/) Microsoft · United States, Washington, Redmond ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/) UnitedHealth Group · Eden Prairie, Minnesota OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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