The 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
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Mentorship and Career Growth
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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.
