Applied Scientist, Denied Party Screening, AWS Compliance & Security Assurance
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our mission is to prevent denied entities from transacting with Amazon businesses. We build automatic mechanisms to detect and prevent prohibited transactions with denied entities using a diverse set of algorithms and machine learning techniques. We screen over a billion events every day and develop algorithms which are able to scale and detect suspicious entities . We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Generative AI (LLM) powered detection and resolution systems to help scale Amazon for years to come.
We are seeking an Applied Scientist to join our team and help tackle challenging problems at the forefront of machine learning and artificial intelligence. Working closely with a multidisciplinary team of engineers data scientists and domain experts you will play a crucial role in defining cutting-edge ML/AI-powered customer experiences and solutions. If you have an entrepreneurial mindset the technical depth to deliver impactful results and a passion for innovation we want to hear from you.
Key job responsibilities
In this role you will:
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
A day in the life
- 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
About the team
Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.
Training and Career growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing training and other career-advancing resources here to help you develop into a better-rounded professional.
- 3 years of building models for business application experience
- PhD or Masters 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
- Experience using Unix/Linux
- Experience in professional software development
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
We are seeking an Applied Scientist to join our team and help tackle challenging problems at the forefront of machine learning and artificial intelligence. Working closely with a multidisciplinary team of engineers data scientists and domain experts you will play a crucial role in defining cutting-edge ML/AI-powered customer experiences and solutions. If you have an entrepreneurial mindset the technical depth to deliver impactful results and a passion for innovation we want to hear from you.
Key job responsibilities
In this role you will:
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
A day in the life
- 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
About the team
Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.
Training and Career growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing training and other career-advancing resources here to help you develop into a better-rounded professional.
- 3 years of building models for business application experience
- PhD or Masters 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
- Experience using Unix/Linux
- Experience in professional software development
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 for more information. If the country/region youre applying in isnt 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 TX Dallas - 142800.00 - 193200.00 USD annually
USA WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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