[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Austin, TX # Applied Scientist, AI Security US, TX, Austin Research & Science Listed on Amazon’s official careers site. Posted September 22, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10556410/applied-scientist-ai-security) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist, AI Security ## Job description 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. 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. ## At a glance - Posted by the employer: Sep 22, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 11, 2026 - Listed for: 19 days - Location: US, TX, Austin[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10556410/applied-scientist-ai-security) ## More jobs at Amazon ### [Principal Applied Scientist, Humorphic Labs](https://jobs.opennash.com/companies/amazon/jobs/25db16afa3e69677f186/) US, TX, Austin ### [Senior Applied Scientist, APM Video Science Twitch](https://jobs.opennash.com/companies/amazon/jobs/b49872213491cb8baedb/) US, TX, Austin ### [Senior Applied Scientist, Frontier AI Tooling](https://jobs.opennash.com/companies/amazon/jobs/1149bd6d0a6a13daef2d/) US, TX, Austin ### [Sr. Communication Systems Research Scientist – Radio Resource Management](https://jobs.opennash.com/companies/amazon/jobs/512096c96747fc796bd8/) US, TX, Austin ### [AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations](https://jobs.opennash.com/companies/amazon/jobs/cd168b00b12f100648a0/) US, TX, Austin ## Similar jobs at other companies ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/6887d8f40d7a9e34526e/) Microsoft · United States, Washington, Redmond ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States ### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/) UnitedHealth Group · Eden Prairie, Minnesota OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)