{"schemaVersion":"jobsearcher.job.v1","id":"9da281aaaba40e05cac1c8d2","url":"https://jobsearcher.com/jobs/9da281aaaba40e05cac1c8d2","canonicalUrl":"https://jobsearcher.com/jobs/9da281aaaba40e05cac1c8d2","title":"Applied Scientist, AWS Security Services","description":"Applied Scientist, AWS Security Services\nJob ID: 10573755 | Amazon Development Center U.S., Inc.\nAmazon Web Services is looking for world class scientists to join the Security Analytics and AI Research team within AWS Security Services. This group is entrusted with researching and developing core ML and AI solutions for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/) and Security Hub (https://aws.amazon.com/security-hub/). In this group, you will invent and implement innovative solutions for never-before-solved problems. If you have passion for security and experience with large scale ML/AI problems and/or agentic systems, this will be an exciting opportunity.\nThe AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.\nOur team also puts a high value on work-life balance. We thrive to provide a healthy balance between your personal and professional life which is crucial to your happiness and success here.\nKey job responsibilities\n\nInvent, implement, and deploy state of the art ML/AI algorithms and systems for information security applications.\nRapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.\nCollaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.\nReport results in a scientifically rigorous way.\nInteract with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.\n\nAbout the team\nThis is a team of researchers who are passionate about advancing the frontier of security research through ML and AI. Our mission is to tackle some of the most complex and impactful challenges in security by developing novel ML/AI-driven solutions that protect customers at scale. We work with teams across multiple disciplines to transform novel ideas into production systems and improve the customer experience. The team has a strong record of both production delivery and publication at peer-reviewed conferences. If you are excited about solving challenging problems at the intersection of security and AI, we'd love to hear from you.\nBasic Qualifications\n\nPhD in computer science, machine learning, engineering, or related fields\n2+ years of hands-on predictive modeling and large data analysis experience\n2+ years of programming in Java, C++, Python or related language experience\n2+ years of building machine learning models or developing algorithms for business application experience\n\nPreferred Qualifications\n\n5+ years of hands-on predictive modeling and large data analysis experience\nPhD, or a PhD or equivalent research experience and experience in patents or publications at top-tier peer-reviewed conferences or journals\nExperience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders\nExperience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications\nExtensive experience applying theoretical models in an applied environment.\nDomain experience with threat detection techniques\nTrack record of developing novel algorithms to help detect stealthy zero-day attacks\nExperience with building agentic systems using LLMs and familiar with common agentic framework such as Strands Agent, LangGraph, etc.\nSolid knowledge on LLM techniques and experience with LLM post-training.\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur 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.\nAmazon 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 .\nThe 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 .\nUSA, MA, Boston - 142,800.00 - 193,200.00 USD annually\nUSA, NY, New York - 172,400.00 - 223,400.00 USD annually\nUSA, WA, Seattle - 142,800.00 - 193,200.00 USD annually\n#J-18808-Ljbffr","company":"Amazon","rawCompany":"amazon","city":"Eastern","state":"KY","isRemote":false,"isActive":false,"createdAt":"2026-10-14T04:05:52.039Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied Scientist, AWS Security Services","description":"Applied Scientist, AWS Security Services\nJob ID: 10573755 | Amazon Development Center U.S., Inc.\nAmazon Web Services is looking for world class scientists to join the Security Analytics and AI Research team within AWS Security Services. This group is entrusted with researching and developing core ML and AI solutions for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/) and Security Hub (https://aws.amazon.com/security-hub/). In this group, you will invent and implement innovative solutions for never-before-solved problems. If you have passion for security and experience with large scale ML/AI problems and/or agentic systems, this will be an exciting opportunity.\nThe AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.\nOur team also puts a high value on work-life balance. We thrive to provide a healthy balance between your personal and professional life which is crucial to your happiness and success here.\nKey job responsibilities\n\nInvent, implement, and deploy state of the art ML/AI algorithms and systems for information security applications.\nRapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.\nCollaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.\nReport results in a scientifically rigorous way.\nInteract with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.\n\nAbout the team\nThis is a team of researchers who are passionate about advancing the frontier of security research through ML and AI. Our mission is to tackle some of the most complex and impactful challenges in security by developing novel ML/AI-driven solutions that protect customers at scale. We work with teams across multiple disciplines to transform novel ideas into production systems and improve the customer experience. The team has a strong record of both production delivery and publication at peer-reviewed conferences. If you are excited about solving challenging problems at the intersection of security and AI, we'd love to hear from you.\nBasic Qualifications\n\nPhD in computer science, machine learning, engineering, or related fields\n2+ years of hands-on predictive modeling and large data analysis experience\n2+ years of programming in Java, C++, Python or related language experience\n2+ years of building machine learning models or developing algorithms for business application experience\n\nPreferred Qualifications\n\n5+ years of hands-on predictive modeling and large data analysis experience\nPhD, or a PhD or equivalent research experience and experience in patents or publications at top-tier peer-reviewed conferences or journals\nExperience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders\nExperience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications\nExtensive experience applying theoretical models in an applied environment.\nDomain experience with threat detection techniques\nTrack record of developing novel algorithms to help detect stealthy zero-day attacks\nExperience with building agentic systems using LLMs and familiar with common agentic framework such as Strands Agent, LangGraph, etc.\nSolid knowledge on LLM techniques and experience with LLM post-training.\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur 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.\nAmazon 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 .\nThe 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 .\nUSA, MA, Boston - 142,800.00 - 193,200.00 USD annually\nUSA, NY, New York - 172,400.00 - 223,400.00 USD annually\nUSA, WA, Seattle - 142,800.00 - 193,200.00 USD annually\n#J-18808-Ljbffr","datePosted":"2026-10-14T04:05:52.039Z","dateModified":"2026-10-14T04:05:52.039Z","hiringOrganization":{"@type":"Organization","name":"Amazon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eastern","addressRegion":"KY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9da281aaaba40e05cac1c8d2"},"url":"https://jobsearcher.com/jobs/9da281aaaba40e05cac1c8d2"}}