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Applied Scientist II, Secure 3P Tools

at Amazon

Back to all Data Science / AI / ML jobs
Amazon logo
Industry not specified

Applied Scientist II, Secure 3P Tools

at Amazon

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 7 hours ago

No clicks

Compensation
$142,800 – $193,200 USD

Currency: $ (USD)

City
Austin
Country
United States

Lead the research, design, and deployment of GenAI-powered security solutions to enhance governance of third-party tools across Amazon. Develop and fine-tune LLMs and ML models for risk detection, anomaly identification, and automated compliance. Collaborate with Security Engineers, SDEs, and PMs to translate innovations into scalable, production-ready systems, and define the GenAI roadmap for the S3T organization. Mentor junior scientists and contribute to a culture of scientific excellence while staying current with GenAI advancements.

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 Amazon's 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 Amazon's 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, hasn’t followed a traditional path, or includes alternative experiences, don’t 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 Amazon’s 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, it’s 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
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll 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, there’s nothing we can’t achieve.

Basic Qualifications

- 3+ years of building models for business application experience
- PhD, or Master's 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

Preferred Qualifications

- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.



USA, TX, Austin - 142,800.00 - 193,200.00 USD annually

Applied Scientist II, Secure 3P Tools

at Amazon

Back to all Data Science / AI / ML jobs
Amazon logo
Industry not specified

Applied Scientist II, Secure 3P Tools

at Amazon

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 7 hours ago

No clicks

Compensation
$142,800 – $193,200 USD

Currency: $ (USD)

City
Austin
Country
United States

Lead the research, design, and deployment of GenAI-powered security solutions to enhance governance of third-party tools across Amazon. Develop and fine-tune LLMs and ML models for risk detection, anomaly identification, and automated compliance. Collaborate with Security Engineers, SDEs, and PMs to translate innovations into scalable, production-ready systems, and define the GenAI roadmap for the S3T organization. Mentor junior scientists and contribute to a culture of scientific excellence while staying current with GenAI advancements.

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 Amazon's 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 Amazon's 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, hasn’t followed a traditional path, or includes alternative experiences, don’t 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 Amazon’s 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, it’s 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
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll 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, there’s nothing we can’t achieve.

Basic Qualifications

- 3+ years of building models for business application experience
- PhD, or Master's 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

Preferred Qualifications

- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits.



USA, TX, Austin - 142,800.00 - 193,200.00 USD annually

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