Applied Scientist II, Secure 3P Tools
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Job Location:
Austin, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Amazon Security is looking for a talented and driven Applied Scientist II to spearhead Generative AI acceleration within the Secure Third Party Tools (S3T) organization. The S3T team has bold ambitions to re-imagine security products that serve Amazons pace of innovation at our global scale.
This role will focus on leveraging large language models and agentic AI to transform third-party security risk management automate complex vendor assessments streamline controllership processes and dramatically reduce assessment cycle times. You will drive builder efficiency and deliver bar-raising security engagements across Amazon.
Key job responsibilities
Lead the research design and development of GenAI-powered solutions to enhance the security and governance of third-party tools across Amazon
Develop and fine-tune large language models (LLMs) and other ML models tailored to security use cases including risk detection anomaly identification and automated compliance
Collaborate with cross-functional teams including Security Engineers Software Development Engineers and Product Managers to translate scientific innovations into scalable production-ready systems
Define and drive the GenAI roadmap for the S3T organization influencing strategy and prioritization
Conduct rigorous experimentation evaluate model performance and iterate rapidly to deliver measurable impact
Stay current with the latest advancements in GenAI and applied ML research and bring relevant innovations into Amazons security ecosystem
Mentor junior scientists and contribute to a culture of scientific excellence within the team
About the team
Security is central to maintaining customer trust and delivering delightful customer experiences. At Amazon our Security organization is designed to drive bar-raising security engagements. Our vision is that Builders raise the Amazon security bar when they use our recommended tools and processes with no overhead to their business.
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
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. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud devices retail entertainment healthcare operations and physical stores.
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 & 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.
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.
- 3 years of building models for business application experience
- PhD or Masters degree and 3 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.
This role will focus on leveraging large language models and agentic AI to transform third-party security risk management automate complex vendor assessments streamline controllership processes and dramatically reduce assessment cycle times. You will drive builder efficiency and deliver bar-raising security engagements across Amazon.
Key job responsibilities
Lead the research design and development of GenAI-powered solutions to enhance the security and governance of third-party tools across Amazon
Develop and fine-tune large language models (LLMs) and other ML models tailored to security use cases including risk detection anomaly identification and automated compliance
Collaborate with cross-functional teams including Security Engineers Software Development Engineers and Product Managers to translate scientific innovations into scalable production-ready systems
Define and drive the GenAI roadmap for the S3T organization influencing strategy and prioritization
Conduct rigorous experimentation evaluate model performance and iterate rapidly to deliver measurable impact
Stay current with the latest advancements in GenAI and applied ML research and bring relevant innovations into Amazons security ecosystem
Mentor junior scientists and contribute to a culture of scientific excellence within the team
About the team
Security is central to maintaining customer trust and delivering delightful customer experiences. At Amazon our Security organization is designed to drive bar-raising security engagements. Our vision is that Builders raise the Amazon security bar when they use our recommended tools and processes with no overhead to their business.
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
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. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud devices retail entertainment healthcare operations and physical stores.
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 & 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.
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.
- 3 years of building models for business application experience
- PhD or Masters degree and 3 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 Austin - 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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