Research Scientist II, Global Risk Intelligence and Prevention

Amazon is hiring a Research Scientist II, Global Risk Intelligence and Prevention in Seattle, United States. It pays $136k-$184k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this research scientist role Builds AI ●●●●: the job is building AI systems.
The posting mentions computer vision and NLP among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

computer-visionnlp

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
- 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

- Own the end-to-end scientific solution from risk quantification through decision optimization, determining the appropriate actions to take across varying risk levels

- Develop interpretability and reasoning pipelines that provide transparent, actionable explanations for model decisions to support enforcement and seller experience

- 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

- 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:
- Explore datasets to understand predictors and patterns of abuse
- Work with product, program, and engineering stakeholders to build solutions into production that will last
- Identify new and emerging abuse vectors as abusers get more sophisticated
- 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

- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets

Preferred qualifications

- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with agile development
- 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 we rate this

Research Scientist II, Global Risk Intelligence and Prevention at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Research Scientist II, Global Risk Intelligence and Prevention is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $136k-$184k a year.
The role is based in US, WA, Seattle.
The job was posted on November 4, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionNLP

Also common in research scientist jobs at this level

Machine learning PyTorch Deep learning Reinforcement learning C++Generative AI

Pay

This job starts at: $136k
Typical research scientist job: $192k

This posting starts 29% below the typical research scientist job. See research scientist jobs

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
What NLP problem have you worked on, and how did you measure whether it actually worked?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer vision and NLP. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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