Amazon · 3 months ago
Applied Scientist, Brand Protection ML
Seattle, Washington, USA
Full-time
Onsite
Mid, Senior Level
$136K/yr - $223K/yr
2+ years expAmazon is a leader in customer-focused scientific innovation, and they are seeking an Applied Scientist to join their Brand Protection ML team. The role involves designing, developing, and deploying advanced machine learning solutions to detect fraudulent activities and protect customers and brands from IP infringements.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Understand business challenges by analyzing data and customer feedback
Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement post-launch
Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems
Develop and apply graph-based algorithms (e.g., Graph Neural Networks, representation learning, community detection, link prediction) for fraud and risk detection
Design scalable data pipelines to construct, enrich, and maintain large-scale knowledge graphs from heterogeneous data sources
Present research and analytics insights with stakeholders and partners to advance organizational science knowledge and decision making
Research and implement novel AI solutions and publish research papers internally (and externally where appropriate)
Qualification
Required
PhD, or Master's degree and 2+ years of building machine learning models for business application experience
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Experience programming in Java, C++, Python or related language
Experience implementing algorithms using both toolkits and self-developed code
Preferred
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
2+ years of solving business problems through machine learning, data mining and statistical algorithms experience
Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
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
2026-01-18
Springfield Business Journal
2026-01-18
2026-01-18
Company data provided by crunchbase