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Job description
Job ID: | Amazon.com Services LLC
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.
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 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 .
USA, TX, Austin - 142,800.00 - 193,200.00 USD annually
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.
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Worksite address
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.