Description We are open to hiring candidates to work out of one of the following locations: New York, NY, USA Amazon Stores Proactive Security is looking for world-class scientists to join the Data Intelligence & Analytics team within Stores Security. You will join a team of engineers and scientists developing advanced techniques to automate security reviews and enhance decision-making processes across Amazon's security operations. This group will be visible across Stores Security teams and to Amazon security leadership as a source of innovative AI solutions that revolutionize how we approach security operations. Each day, thousands of builders and security reviewers interact with our security products and processes, generating vast amounts of security-related data and documentation. The Stores Proactive Security Data Intelligence team owns the transformation of this data into automated, intelligent solutions that streamline security operations. Our team works with security engineers and product teams across Stores Security to ensure that our security review processes are efficient and data-driven. We dive deep into technologies such as large language models, document processing systems, predictive analytics, and machine learning to automatically extract security knowledge, predict risks, and provide insights that enhance security decision-making. You will identify, extend, and prototype advanced AI techniques that can be applied to solve hard problems in security operations. In some cases, your team will invent new approaches for automating security knowledge extraction and decision-making. In other cases, your team will identify and adapt existing approaches from the field of AI/ML. You will work with security experts and software developers to integrate these techniques into Stores Security's mechanisms for reducing manual effort and improving consistency in security operations. Stores Security will look to your team to find the techniques that will radically improve the efficiency and effectiveness of our security processes. While you may not be a security expert yet, in this role you will develop a broad and deep understanding of security operations and automation opportunities. Our team puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work. Key job responsibilities * Rapidly design, prototype and test advanced security analysis and repair techniques in a high-ambiguity environment, making use of both quantitative and business judgment. * Collaborate with software engineers and security engineers to integrate successful experiments into large scale production services. * Report results in a scientifically rigorous way. * Interact with security engineers and related domain experts to dive deep into the types of challenges that need innovative solutions. * Track relevant research in other Amazon science teams and in the broader research community. 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, hasn’t followed a traditional path, or includes alternative experiences, don’t 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 Amazon’s 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, it’s 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 We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll 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, there’s nothing we can’t achieve. Basic Qualifications - 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 - Demonstrated experience with large language models (LLMs) and their applications. Hands-on experience developing and implementing agent-based AI systems or workflows. Experience in designing and conducting experiments to evaluate AI models and systems. Familiarity with natural language processing (NLP) techniques and libraries. Deep understanding of current trends and state-of-the-art in AI, particularly in LLMs and agent-based systems Preferred Qualifications - Experience in professional software development - Experience implementing algorithms using both toolkits and self-developed code - 3+ years experience applying ML/AI techniques to complex business problems, with expertise in AI agent architectures, NLP, and system design; demonstrated by patents, publications, or industry-recognized contributions - Strong technical foundation in algorithms, data structures, numerical optimization, and high-performance computing; hands-on experience with NLP libraries and AI frameworks - In-depth understanding of cybersecurity principles, including threat modeling, application security testing, and secure software development practices; ability to integrate AI/ML solutions with cybersecurity domains 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.