Amazon Applied Scientist II Stores Proactive Security 

United States, New York, New York 

554032022

New York, NY, USAKey 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.

- 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

- 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