Applied Scientist, Seller Trust & Store Integrity AI

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon is seeking an Applied Scientist for Global Selling Partner Risk Intelligence and Prevention to design, develop, and deploy scalable AI solutions that detect marketplace abuse across the seller lifecycle. You will work on multi-modal datasets to build predictive systems, with a focus on graph-based networks and interpretable model decisions.

The role demands collaboration with risk programs and engineering teams to translate operational patterns into automated systems and to optimize

Qualifications

• PhD or MS with 4+ years in CS/CE/ML or related field.
• Experience in Java, C++, Python or related language.
• Strong background in algorithms, data structures, numerical optimization and data mining.

Responsibilities

• Design and build predictive risk detection models using advanced AI techniques.
• Own the end-to-end scientific solution from risk quantification through decision optimization.
• Develop interpretability and reasoning pipelines for model decisions.
• Define detection strategies and translate patterns into automated systems.
• Partner with engineering to deploy models into production and measure detection effectiveness.

Skills

PhD or MS + 4+ yrs CS/CE/ML

Java/C++/Python

Algorithms & data structures

Deep learning & statistics

Education

PhD or Master's in CS/CE/ML

Job description

Amazon is seeking an Applied Scientist for Global Selling Partner Risk Intelligence and Prevention to design, develop, and deploy scalable AI solutions that detect marketplace abuse across the seller lifecycle. You will work on multi-modal datasets to build predictive systems, with a focus on graph-based networks and interpretable model decisions.

The role demands collaboration with risk programs and engineering teams to translate operational patterns into automated systems and to optimize