Senior Applied Scientist, AWS Marketplace Science

Description

AWS Marketplace Science team seeks a talented Applied Scientist. AWS Marketplace is one of the world's largest B2B software and service discovery platforms, generating rich multi‑modal signals that create uniquely challenging problems at the intersection of large‑scale information retrieval, generative AI, and agentic systems. You'll operate at the frontier of applied science where your models directly shape purchasing decisions for the world's largest cloud ecosystem.

The ideal candidate excels in translating complex scientific research into practical high‑impact solutions, demonstrating both technical excellence and a deep understanding of customer needs. They should bring proven depth in numerous domains across information retrieval, recommendations, and agentic systems while remaining committed to mentoring others and fostering a culture of innovation and collaboration. The position offers a unique opportunity to influence how businesses worldwide discover and adopt software solutions.

• Lead the research, design, and development of advanced AI/ML systems for information retrieval and agentic systems
• Identify and evaluate emerging scientific techniques and technologies, translating research into practical, scalable solutions
• Drive evaluation and hypothesis testing to continuously improve performance and relevance of search and recommendation systems
• Collaborate with cross‑functional teams, such as Product and Engineering leaders, to translate scientific innovations into customer value
• Mentor Scientists and influence scientific approach across the organization

We invest in your growth as a scientist. You'll collaborate closely with a community of applied scientists and research engineers tackling problems across search, recommendations, and generative AI. We support conference attendance and publication at top venues (NeurIPS, ICML, KDD, SIGIR), provide mentorship from senior scientists, and encourage the open exchange of ideas through internal science reading groups and seminars. Whether you want to deepen your technical expertise or grow into science leadership, we'll help you build a career defined by scientific impact.

• PhD, or Master’s degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• 3+ years of building machine learning models or developing algorithms for business application experience

• Experience with theory and practice of information retrieval, data science, machine learning and data mining

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Salary: USA, CA, San Diego — $ – $ USD annually
USA, NY, New York — $ – $ USD annually
USA, TX, Austin — $ – $ USD annually
USA, WA, Seattle — $ – $ USD annually

Company — Amazon Web Services, Inc.

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