We are open to hiring candidates to work out of one of the following locations:

New York, NY, USA

Amazon Secure Tool Foundations is looking for world-class scientists to join the Truffle team. You will join a team of scientists and engineers building agentic AI systems that automate how Amazon protects its applications at scale. Our systems convert security knowledge into automated, continuous protection that strengthens over time and enables development teams to ship secure software faster.

You will design and build agentic systems that reason about code, identify patterns, and produce security intelligence consumable by both scanning infrastructure and AI code agents. In some cases, you will invent new approaches for automated security analysis and secure code generation. In other cases, you will adapt existing AI/ML techniques to solve hard problems in security automation. You will work closely with security engineers, platform teams, and scanning infrastructure owners to integrate these techniques into Amazon's security mechanisms. Your work will directly determine how effectively AI-assisted development produces secure software at scale.

While you may not be a security expert yet, in this role you will develop deep understanding of vulnerability patterns, application security, and how AI systems can prevent entire classes of risk. 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.

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

PREFERRED QUALIFICATIONS

- Experience in professional software development

- Experience implementing algorithms using both toolkits and self-developed code

- Experience with AI/ML technologies

- PhD or equivalent research experience, or a Master's degree and experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience in any combination of the following: application security frameworks, security code reviews, incident response, secure infrastructure, penetration testing, mobile security, cloud security, AI security, identity and access controls, threat modeling, cryptography, threat intelligence, or secure software development

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 https://amazon.jobs/en/benefits.

USA, NY, New York - 172,400.00 - 223,400.00 USD annually