Research Scientist II, Global Risk Intelligence and Prevention
Seattle, WAJob$136–184K/yrSeen todaySeen in employer's feed today
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At a glance
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Job overview
The Applied Scientist, Seller Abuse Prevention develops and deploys AI solutions to detect and prevent marketplace abuse across the seller lifecycle. The role builds risk models from large, multimodal datasets, creates interpretable decision pipelines, and partners with engineering, operations, and verification teams to bring models into production and measure their effectiveness. The work also includes identifying emerging abuse patterns and translating investigations into automated detection strategies.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
We are seeking an exceptional Applied Scientist, Seller Abuse Prevention, to lead the development and implementation of advanced AI solutions that will transform how we prevent bad actors from operating in our store and enable Selling Partners to start and grow their business without fear of disruption, so that customers and Selling Partners across the globe trust us and have confidence in the integrity of Amazon's store. This role will focus on building risk detection models leveraging state-of-the-art AI, including small language models, to detect and prevent abuse of Amazon's catalog worldwide.
You will design, develop, and deploy scalable AI solutions to proactively detect and prevent marketplace abuse throughout the seller lifecycle. You will work with massive-scale, multi-modal datasets spanning behavioral patterns, transactional histories, and behavioral data to build detection systems that are ahead of evolving adversarial tactics.
Key job responsibilities
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Design and build predictive risk detection models using advanced AI techniques, including Natural Language Processing including LLMs and agents to proactively identify bad actors and prevent marketplace abuse at scale
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Own the end-to-end scientific solution from risk quantification through decision optimization, determining the appropriate actions to take across varying risk levels
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Develop interpretability and reasoning pipelines that provide transparent, actionable explanations for model decisions to support enforcement and seller experience
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Work with risk programs across the seller lifecycle to define detection strategies, translate operational investigation patterns into automated systems, and prioritize high-impact risk areas
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Partner with engineering teams to deploy models into production, define evaluation frameworks, and collaborate with operations and verification teams to measure and improve detection effectiveness
A day in the life
Day-to-day you can expect to:
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Explore datasets to understand predictors and patterns of abuse
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Work with product, program, and engineering stakeholders to build solutions into production that will last
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Identify new and emerging abuse vectors as abusers get more sophisticated
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Use search, graph, computer vision, NLP, and anomaly detection methodologies to automatically detect abusive actions.
About the team
Our team is driven by the belief that scientific innovation unlocks transformative customer experiences. We tackle hard, ambiguous problems by combining rigorous research methods with practical engineering, and we value collaboration across disciplines. We are building an inclusive environment where scientists at every stage of their career can grow, publish impactful work, and see their research come to life at Amazon scale. If you want to do science that matters, this is the place.
Basic Qualifications
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PhD, or Master's degree and 4+ years of quantitative field research experience
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Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
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Experience analyzing both experimental and observational data sets
Preferred Qualifications
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Knowledge of R, MATLAB, Python or similar scripting language
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Experience with agile development
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Experience building web based dashboards using common frameworks
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 - 136,000.00 - 184,000.00 USD annually
How this job compares
Set against the 1,001 open Applied Scientist jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This posting$136–184K/yr
- Washington median$143–226K/yr245 salary ranges
- US median$167–264K/yr959 salary ranges
This range's midpoint, $160K, is 19% below the Washington median midpoint ($197K) — in the lowest quarter of Applied Scientist salary ranges in Washington.
- Openings
- Olive Jobs lists 250 open Applied Scientist jobs in Washington and 1,001 across the US. Under 1% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Amazon (this employer)201 open
- Microsoft Corporation22 open
- Oracle6 open
- Experience
- This posting asks for at least 4 years of experience; Applied Scientist postings that state a minimum ask for 4 years at the median (824 postings).
- Education
- 502 of the 1,001 open Applied Scientist jobs (50%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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