Sr. Applied Scientist, Defensive Security
Sr. Applied Scientist, Defensive Security
Posted on :
04-06-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
04-06-2025
Job Description
We are open to hiring candidates to work out of one of the following locations:
Austin TX USA Seattle WA USA
Are you a Sr. Applied Scientist interested in all things cyber security Do you enjoy developing state of the art ML and LLM based systems Are you interested in working on ground-breaking projects that will drive new innovations in how teams manage software security Do you want to explore the boundaries of A.I.-based automation If yes this team is for you!
The Defensive Security organization is pioneering new methods to enable innovative ways in how security teams keep Amazon safe. We are looking for a scientist to join a team of software and security engineers in building a specialized product that deals with security threats and incidents at scale.
In this role you will be a founding member of a new science initiative on a ground breaking new product. You will develop key technological A.I. advancements and ML models that will power a new suite of tools. These tools will empower 200 security engineers world wide to keep Amazon secure.
As part of the Defensive Security organization you will enable Amazon to maintain customer trust through broad security initiatives. As the leading contributor of Defensive Securitys A.I. initiatives you will be on the forefront of resolving security findings at Amazon scale.
Key job responsibilities
- You will derive novel M.L. models for classification and prediction using LLMs/LMMs/LAMs.
- You will design and develop scalable ML models.
- You will work with large datasets (Petabyte scale).
- You will leverage large GPU clusters to train and deploy models.
- You will work closely within software/security engineering teams to deploy your models and test the quality of their impacts.
- You will publish your work at major conferences/journals.
- You will create written communication briefing findings and observations for executive leadership.
- You will mentor team members in the use of your AI models.
A day in the life
A day in the life involves meeting threat research and incident responder teams to review data flows prediction use cases automation gaps and more. From here you will research data sets and collaborate with security/software engineers to retrieve data needed for your analysis and explorations. Once you have framed the problems you will conduct experiments regressions and various analysis activities to find insights. You will develop and train models that will then be placed into a production environment with the help of software engineers. You will then work with your security team partners to understand the effectiveness of the models created.
The Defensive Security team is nimble tight-knit and co-located in Seattle and Austin. It is primarily software engineers but will be developed into a hybrid team of software engineers and security engineers. This team has strong Amazonian leadership with a track record of mentoring coaching and career progression support.
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.
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.
Austin TX USA Seattle WA USA
Are you a Sr. Applied Scientist interested in all things cyber security Do you enjoy developing state of the art ML and LLM based systems Are you interested in working on ground-breaking projects that will drive new innovations in how teams manage software security Do you want to explore the boundaries of A.I.-based automation If yes this team is for you!
The Defensive Security organization is pioneering new methods to enable innovative ways in how security teams keep Amazon safe. We are looking for a scientist to join a team of software and security engineers in building a specialized product that deals with security threats and incidents at scale.
In this role you will be a founding member of a new science initiative on a ground breaking new product. You will develop key technological A.I. advancements and ML models that will power a new suite of tools. These tools will empower 200 security engineers world wide to keep Amazon secure.
As part of the Defensive Security organization you will enable Amazon to maintain customer trust through broad security initiatives. As the leading contributor of Defensive Securitys A.I. initiatives you will be on the forefront of resolving security findings at Amazon scale.
Key job responsibilities
- You will derive novel M.L. models for classification and prediction using LLMs/LMMs/LAMs.
- You will design and develop scalable ML models.
- You will work with large datasets (Petabyte scale).
- You will leverage large GPU clusters to train and deploy models.
- You will work closely within software/security engineering teams to deploy your models and test the quality of their impacts.
- You will publish your work at major conferences/journals.
- You will create written communication briefing findings and observations for executive leadership.
- You will mentor team members in the use of your AI models.
A day in the life
A day in the life involves meeting threat research and incident responder teams to review data flows prediction use cases automation gaps and more. From here you will research data sets and collaborate with security/software engineers to retrieve data needed for your analysis and explorations. Once you have framed the problems you will conduct experiments regressions and various analysis activities to find insights. You will develop and train models that will then be placed into a production environment with the help of software engineers. You will then work with your security team partners to understand the effectiveness of the models created.
The Defensive Security team is nimble tight-knit and co-located in Seattle and Austin. It is primarily software engineers but will be developed into a hybrid team of software engineers and security engineers. This team has strong Amazonian leadership with a track record of mentoring coaching and career progression support.
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.
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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