Applied Scientist, AWS Marketplace & Partner Services
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
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 Marketplaces 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 worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its 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 theres nothing we cant achieve in the cloud.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
- Experience programming in Java C Python or related language
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 Marketplaces 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 worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its 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 theres nothing we cant achieve in the cloud.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
- Experience programming in Java C Python or related language
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- 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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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