Senior Applied Scientist, AWS Vulnerability Management, Third Party Software
Senior Applied Scientist, AWS Vulnerability Management, Third Party Software
Posted on :
04-07-2025
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1 Vacancy
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Job Description
We are open to hiring candidates to work out of one of the following locations:
Arlington VA USA Austin TX USA Herndon VA USA New York NY USA Seattle WA USA
At AWS Security were on a mission to revolutionize builder enablement in the AWS Vulnerability Management space. Were seeking a Senior Applied Scientist specializing in generative AI to join our team and lead the charge in developing provable security solutions that protect our customers and empower our builders.
In this role youll be at the forefront of addressing one of the most critical challenges in cloud security today: managing the risks associated with third-party software. With the increasing frequency and sophistication software vulnerabilities your work will be crucial in safeguarding AWS environments against vulnerabilities that can arise from external components integrated into our infrastructure.
Youll leverage your expertise in generative AI and machine learning to develop innovative approaches for identifying assessing and remediating security risks in third-party software. Your solutions will help bridge the gap between rapid innovation and robust security practices ensuring that the software packages our builders use are not only efficient but also comply with AWS Vulnerability Managements (AVM) security standards.
As a key member of our team youll collaborate closely with cross-functional teams to integrate your scientifically-validated security measures into existing workflows. Your work will directly impact AWSs ability to respond quickly and efficiently to vulnerabilities addressing challenges such as package naming ambiguity between internal and external sources.
Were looking for someone who can think strategically about both mid-term tactical improvements and long-term security innovations. Youll be instrumental in establishing a data-driven decision framework that will guide our security measures ensuring theyre not only effective but also optimized for builder efficiency.
Your role extends beyond just technical innovation. As a senior member of the team youll be a thought leader in the field of AI-driven security contributing to the broader Amazon Science community and potentially publishing your findings in top-tier scientific venues. Youll also mentor team members sharing your expertise and helping to cultivate the next generation of security innovators at AWS.
This position offers a unique opportunity to make a substantial impact across AWS contributing to the overall resilience and trustworthiness of our security programs. Your work will be central to maintaining customer trust and delivering secure delightful customer experiences across all of Amazons products and services.
If youre passionate about solving complex challenges have a deep understanding of generative AI and machine learning and are excited about the prospect of shaping the future of cloud security we want to hear from you. Join us in our mission to set new standards for security through AI innovation at Amazon.
Key job responsibilities
1. Lead research and development of generative AI solutions to address security challenges in Vulnerability Management.
2. Develop and implement data-driven decision frameworks to analyze patterns in the package environment and quantify the impact of security improvements on builder productivity.
3. Collaborate closely with cross-functional teams to integrate scientifically-validated security measures into existing workflows.
4. Design and conduct experiments to solve complex security problems
5. Develop scalable AI-driven solutions to efficiently respond to vulnerabilities in software packages.
6. Create and implement long-term strategic plans for integrating generative AI into AWS security practices.
7. Publish research findings in scientific venues and contribute to the broader Amazon Science community.
8. Mentor team members and provide expertise on a range of machine learning topics related to security.
A day in the life
You will be joining the AWS Vulnerability Management (AVM) team focusing on third-party software vulnerability remediation. This role offers the opportunity to make a substantial impact across AWS contributing to both mid-term tactical improvements and long-term strategic thinking in security-conscious solutions.
About the team
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 machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
- Experience with conducting research in a corporate setting
- Experience in model training and fine-tuning in-context learning and AI agents
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Arlington VA USA Austin TX USA Herndon VA USA New York NY USA Seattle WA USA
At AWS Security were on a mission to revolutionize builder enablement in the AWS Vulnerability Management space. Were seeking a Senior Applied Scientist specializing in generative AI to join our team and lead the charge in developing provable security solutions that protect our customers and empower our builders.
In this role youll be at the forefront of addressing one of the most critical challenges in cloud security today: managing the risks associated with third-party software. With the increasing frequency and sophistication software vulnerabilities your work will be crucial in safeguarding AWS environments against vulnerabilities that can arise from external components integrated into our infrastructure.
Youll leverage your expertise in generative AI and machine learning to develop innovative approaches for identifying assessing and remediating security risks in third-party software. Your solutions will help bridge the gap between rapid innovation and robust security practices ensuring that the software packages our builders use are not only efficient but also comply with AWS Vulnerability Managements (AVM) security standards.
As a key member of our team youll collaborate closely with cross-functional teams to integrate your scientifically-validated security measures into existing workflows. Your work will directly impact AWSs ability to respond quickly and efficiently to vulnerabilities addressing challenges such as package naming ambiguity between internal and external sources.
Were looking for someone who can think strategically about both mid-term tactical improvements and long-term security innovations. Youll be instrumental in establishing a data-driven decision framework that will guide our security measures ensuring theyre not only effective but also optimized for builder efficiency.
Your role extends beyond just technical innovation. As a senior member of the team youll be a thought leader in the field of AI-driven security contributing to the broader Amazon Science community and potentially publishing your findings in top-tier scientific venues. Youll also mentor team members sharing your expertise and helping to cultivate the next generation of security innovators at AWS.
This position offers a unique opportunity to make a substantial impact across AWS contributing to the overall resilience and trustworthiness of our security programs. Your work will be central to maintaining customer trust and delivering secure delightful customer experiences across all of Amazons products and services.
If youre passionate about solving complex challenges have a deep understanding of generative AI and machine learning and are excited about the prospect of shaping the future of cloud security we want to hear from you. Join us in our mission to set new standards for security through AI innovation at Amazon.
Key job responsibilities
1. Lead research and development of generative AI solutions to address security challenges in Vulnerability Management.
2. Develop and implement data-driven decision frameworks to analyze patterns in the package environment and quantify the impact of security improvements on builder productivity.
3. Collaborate closely with cross-functional teams to integrate scientifically-validated security measures into existing workflows.
4. Design and conduct experiments to solve complex security problems
5. Develop scalable AI-driven solutions to efficiently respond to vulnerabilities in software packages.
6. Create and implement long-term strategic plans for integrating generative AI into AWS security practices.
7. Publish research findings in scientific venues and contribute to the broader Amazon Science community.
8. Mentor team members and provide expertise on a range of machine learning topics related to security.
A day in the life
You will be joining the AWS Vulnerability Management (AVM) team focusing on third-party software vulnerability remediation. This role offers the opportunity to make a substantial impact across AWS contributing to both mid-term tactical improvements and long-term strategic thinking in security-conscious solutions.
About the team
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 machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
- Experience with conducting research in a corporate setting
- Experience in model training and fine-tuning in-context learning and AI agents
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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