Amazon · 1 week ago
Applied Scientist, Amazon Selling Partner Trust & Store Integrity Science
Seattle, WA
Full-time
Onsite
Mid, Senior Level
$136K/yr - $223K/yr
4+ years expAmazon is seeking an exceptional scientist to join the Risk Intelligence Science Team, focusing on developing innovative machine learning solutions to protect its online marketplace. The role involves creating scalable systems to detect fraudulent behavior and ensuring a trusted shopping experience for customers and legitimate sellers.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Use machine learning and statistical techniques to create scalable abuse detection solutions that identify fraudulent seller behavior, identity change, and marketplace manipulation schemes
Innovate with the latest GenAI technology to build highly automated solutions for efficient seller verification, transaction monitoring, and risk assessment
Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to prevent and detect sophisticated abuse patterns across the marketplace
Learn, explore and experiment with the latest machine learning advancements to protect customer trust and maintain marketplace integrity while supporting legitimate selling partners
Collaborate with cross-functional teams to develop comprehensive risk models that can adapt to evolving abuse patterns and emerging threats
Qualification
Required
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
3+ years of building machine learning models for business application experience
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred
Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-19
2026-01-19
Company data provided by crunchbase