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Job Details
Posted date: Mar 06, 2026
There have been 804 jobs posted with the title of Applied Scientist all time at Amazon.There have been 804 Applied Scientist jobs posted in the last month.
Location: Seattle, WA
Estimated salary: $168,000
Range: $142,800 - $193,200
Description
The AWS Marketplace & Partner Services Science team seeks an Applied Scientist to drive innovation across multiple AI domains, including Context Engineering in Agent-based Systems, Agent Evaluations, and Next-generation Recommendations. This role will be instrumental in revolutionizing how customers discover solutions for cloud migrations and modernization initiatives.The ideal candidate thrives in an environment of practical application and scientific rigor, demonstrating both technical excellence and business acumen. They should be passionate about collaboration and contributing to a culture of continuous learning and innovation. This role directly influences how thousands of AWS customers discover and implement software solutions, making it crucial for AWS Marketplace's growth and customer success. The position offers the opportunity to shape the future of AI-driven customer solution recommendations while working with innovative technologies at AWS scale.
Key job responsibilities
- Design and optimize context engineering solutions for large language models and agent-based systems
- Establish innovative and useful evaluation strategies for measuring agent performance and effectiveness
- Collaborate with cross-functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value
- Publishing research or contributing to internal/external publications
About the team
The AWS Marketplace & Partner Services Science team is at the forefront of developing and deploying AI/ML systems that serve multiple critical stakeholders:
- AWS Customers: Through the AWS Marketplace, we support Discovery tools that streamline cloud adoption and innovation.
- AWS Partners: Via Partner Central, we offer advanced tools and insights to enhance collaboration and drive mutual growth.
- Internal AWS Sellers: We equip our sales force with data-driven recommendations to better serve our customers and partners.
Our primary objective is to accelerate cloud migrations and modernizations, fostering innovation for AWS customers while simultaneously supporting the growth and success of our extensive partner network.
Why AWS
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.
Inclusive Team Culture
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 (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Mentorship and Career Growth
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.
Diverse Experiences
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.
Qualifications
- Experience programming in Java, C++, Python or related language- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Extended Qualifications
- Experience conveying complex technical concepts to both technical and business audiences- Experience collaborating with UX, Product, and technical partners
- Deep expertise in state-of-the-art AI approaches, particularly in recommendation systems and agent-based architectures
- Demonstrated experience in prompt engineering and context optimization for large language models
- Track record of delivering production-scale AI solutions
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually