Principal Applied Scientist, AWS Marketplace & Partner Services

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$199K-$269K not verified - source not recorded; timestamp not recorded

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

109% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Principal Applied Scientist, AWS Marketplace & Partner Services Seattle, Washington, USA The AWS Marketplace & Partner Services (AMPS) Science team is at the forefront of driving AWS's AI-powered growth through developing and evaluating the next generation search, recommendations, and agentic systems. As a Principal Applied Scientist on our team, you'll own the technical strategy and execution for our most ambitious AI-driven initiatives that directly accelerate AWS revenue growth through both customer discovery experiences and partner co-selling capabilities. Your work will establish Marketplace as customers' primary solution discovery and transaction platform while simultaneously transforming how AWS partners scale their business through insights and agentic workflow automation. You will be a trusted technical leader who tackles intrinsically complex scientific problems by leveraging deep expertise in information retrieval, recommendation systems, LLMs, and agentic systems. You'll innovate and set the standard for scientific excellence, making decisions that affect how products are built and integrated across AMPS. You'll align teams toward coherent strategies, guide peers in adopting the latest scientific trends, and force-multiply by decomposing hard problems and executing through collaboration. Key job responsibilities - Define direction for next-generation recommendation systems, including deep personalization, agentic architecture, and primitives that integrate customer usage patterns, infrastructure requirements, and business objectives to deliver personalized, outcome-oriented guidance - Lead information retrieval innovations, multi-objective ranking, and reasoning over heterogeneous solution types - Architect, implement, and design agentic AI systems that orchestrate complex workflows - Bridge theoretical innovations with practical solutions, making critical judgments to select the best technical approaches for

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