Applied Scientist, AWS Marketplace & Partner Services

Amazon • Seattle, WA

6d

About The Position

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.

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.

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.

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.

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.

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.

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.

Requirements

• 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

Nice To Haves

• 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

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

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