Applied Scientist, AWS Marketplace & Partner Services
ID: 7360
Type: Full-time
Category: Others
Company Name: Amazon Web Services, Inc.
Location: USA, WA, Seattle - Seattle - United States
Salary: 142,800.00 - 193,200.00 USD annually Visit company vacancyThe AWS Marketplace team is looking for an Applied Scientist to help build and improve our AI/ML-Powered Discovery systems. The ideal candidate is passionate about applying machine learning and artificial intelligence to complex information retrieval challenges, with experience in search, recommendations, or personalization. You'll work alongside senior scientists and engineers to develop models and systems that power traditional discovery experiences — such as search ranking, query understanding, and personalized recommendations — built on rich product knowledge graphs and structured metadata. You'll also help extend these foundations into emerging agentic discovery experiences, where AI agents leverage these retrieval and knowledge systems to help customers find and evaluate software solutions. This is a great opportunity to have direct impact on the future of software discovery on AWS Marketplace.
Key job responsibilities
- Design, develop, and deploy AI/ML models for search ranking, query understanding, recommendation, and discovery systems
- Develop and improve information retrieval systems that operate over complex product taxonomies, knowledge graphs, and structured/unstructured metadata
- Build relevance models that capture nuanced relationships between customer intent, product capabilities, and domain-specific context
- Advance both traditional discovery experiences (search, browse, personalized recommendations) and agentic discovery with multi-agent systems
- Conduct experiments and A/B tests to measure and improve the relevance and performance of discovery features
- Analyze large-scale datasets to identify patterns, generate insights, and inform model development
- Collaborate with engineers and product managers to integrate AI/ML solutions into production systems
- Stay current with relevant research in information retrieval, knowledge representation, NLP, and recommendation systems, and apply findings to improve our systems
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.
Basic Qualifications
- Experience programming in Java, C++, Python or related language
- PhD in computer science, machine learning, engineering, or related fields
- 3+ years of building machine learning models or developing algorithms for business application experience
Preferred Qualifications
- Experience with knowledge graphs, entity resolution, or taxonomy-based retrieval systems
- Experience with learning-to-rank, semantic search, or neural information retrieval techniques
- Experience with deep learning frameworks (PyTorch, TensorFlow) and large-scale data processing (Spark, etc.)
- Familiarity with large language models, retrieval-augmented generation, or agentic AI systems
- Experience deploying AI/ML models to production at scale
- Familiarity with NLP techniques, embeddings, or transformer-based models
- Track record of published research or patents in relevant areas
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
Company Name: Amazon Web Services, Inc.
Company Website: https://aws.amazon.com
Company Address: 410 Terry Ave N, Seattle, WA 98109-5210, United States