Amazon · 8 hours ago
Applied Scientist, Denied Party Screening, AWS Compliance & Security Assurance
Amazon is a leading technology company focused on security and customer trust. They are seeking an Applied Scientist to develop ML/AI models and systems that prevent denied entities from transacting with Amazon businesses, collaborating with cross-functional teams to deliver impactful solutions.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Drive the research, design, and development of novel ML/AI models and systems to power critical products and services
Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constraints
Rapidly prototype, test, and iterate on ML/AI solutions, iterating quickly based on data and feedback
Communicate complex technical concepts to technical and non-technical stakeholders
Mentor and grow a team of talented ML scientists and engineers
Stay up-to-date on the latest advancements in AI/ML and identify opportunities to apply emerging techniques
Starting the day by reviewing the latest model performance metrics and identifying areas for improvement
Brainstorming new architectures and approaches with your cross-functional team during a whiteboard session
Diving deep into a complex dataset, leveraging advanced statistical and AI techniques to uncover hidden insights
Prototyping a new model and running a series of experiments to optimize its performance
Preparing a presentation to pitch your latest research findings and recommendations to product and engineering leaders
Mentoring a junior data scientist, providing guidance on coding best practices and problem-solving strategies
Qualification
Required
3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
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 using Unix/Linux
Experience in professional software development
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.
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
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