Applied Scientist, AI Security
Company websiteamazon.com (Amazon, opens in new tab)
Base salary $142,800 to $193,200
Employer-published annual base salary, USD. Advertised base range in Austin, TX
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationAustin, TX
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
About this job
We are seeking an Applied Scientist to join our AI Security team, which builds AI-based security analysis services that identify, validate, and help remediate vulnerabilities in Amazon source code and cloud configurations. The team combines large language models, security knowledge, code analysis, and security-engineer feedback to help builder teams detect security issues earlier in development and maintain security coverage across Amazon.
As an Applied Scientist, you will research, model, design, and implement machine learning and agentic systems that reason over source code, infrastructure, and security context. You will collaborate with applied scientists, security engineers, software engineers, internal partners, and external researchers to improve finding precision, severity assessment, remediation quality, and continuous scanning coverage. Your work will enable continuous, AI-driven security analysis across Amazon’s software estate, converting source-code and infrastructure signals into validated, prioritized findings and proposed fixes that help builders prevent security defects from reaching production.
Key job responsibilities
- Research and develop accurate and scalable methods to solve our hardest AI security problems
- Lead cross-functional work with applied scientists, software engineers, and security engineers to develop models and technical designs for AI systems that analyze source code, validate security findings, and generate remediation guidance at Amazon scale.
About the team
As an Applied Scientist on the AI Security team, you will research, develop, evaluate, and productionize models that identify security vulnerabilities in source code and cloud configurations. You will design experiments, build evaluation datasets and metrics, and apply large language models, program analysis, and security knowledge to improve finding precision, severity assessment, and remediation quality. You will work with applied scientists, security engineers, and software engineers to deliver systems that convert security signals into validated, prioritized findings and proposed fixes for builder teams across Amazon.
Your work will shape how Amazon identifies and addresses security defects throughout the software development lifecycle. You will investigate model behavior, analyze failure modes, develop methods to improve recall and precision, and measure the impact of new capabilities before deployment. The role provides opportunities to solve applied machine learning problems across source code, infrastructure, cloud services, and security operations.
About the team
The AI Security team develops systems that analyze source code and cloud configurations to identify, validate, and help remediate security vulnerabilities. We combine large language models, security engineering, automated evaluation, and feedback from builders and security engineers to improve security coverage across Amazon. The team works on problems including vulnerability detection, severity assessment, false-positive reduction, remediation generation, continuous scanning, and security-data analysis.
Diverse Experiences
Amazon Security values varied professional and life experiences. We encourage candidates from traditional and nontraditional career paths, including candidates early in their careers and candidates with alternative technical backgrounds, to apply.
Why Amazon Security?
Security is central to customer trust and Amazon’s products and services. Our organization establishes and maintains security standards across Amazon. Team members build experience across cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
Amazon Security brings together people with different experiences, technical backgrounds, and perspectives. We invest in learning opportunities and create space for teams to examine security problems from multiple viewpoints.
Training and Career Growth
The team provides knowledge-sharing, technical training, mentorship, and opportunities to work across security domains. Applied Scientists can deepen their expertise in machine learning, security research, evaluation systems, and production AI services.
Work/Life Balance
We support work-life harmony and flexible working practices. Teams plan work with sustainable delivery in mind and support employees in meeting responsibilities at work and at home.
Basic Qualifications
- 3+ years of building models for business application experience
- PhD, or Master's 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
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
Source: Amazon · View original posting (opens in new tab)
Pay in context
This role's base floor ($142,800) is above 46% of the 80 Data & ML roles in Texas listed on this site; 2 others list the same floor. Their median floor is $143,220; the middle half runs from $130,000 to $159,200.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingApplied Scientist, AI Security$142,800 to $193,200
Customer Insights Lead, Global Logistics Domestic First Mile$142,800 to $193,200
Senior Product Marketing Manager, GTM Lead, Fashion & Fitness Marketing$142,800 to $193,200
Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML$142,800 to $193,200
Applied Scientist, Denied Party Screening (DPS), AWS Compliance & Security Assurance$142,800 to $193,200
Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods$142,800 to $193,200
Applied Scientist, AWS Payments and Fraud Prevention$142,800 to $193,200
Chart as a table
| Role | Published base |
|---|---|
| Applied Scientist, AI Security (this listing) | $142,800 - $193,200 |
| Customer Insights Lead, Global Logistics Domestic First Mile | $142,800 - $193,200 |
| Senior Product Marketing Manager, GTM Lead, Fashion & Fitness Marketing | $142,800 - $193,200 |
| Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML | $142,800 - $193,200 |
| Applied Scientist, Denied Party Screening (DPS), AWS Compliance & Security Assurance | $142,800 - $193,200 |
| Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods | $142,800 - $193,200 |
| Applied Scientist, AWS Payments and Fraud Prevention | $142,800 - $193,200 |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-22
Where this pay comes from
Location as the employer wrote it: US, TX, Austin
USA, TX, Austin - 142,800.00 - 193,200.00 USD annually
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.