Senior Applied Scientist, AWS Provable Security

AWS Provable Privacy builds AI-powered technology to automate data protection for security, sovereignty, and privacy. We are a thought-leader in both the symbolic reasoning and statistical machine learning domains of artificial intelligence, with ambitious forward-looking investments aimed at delivering new capabilities on behalf of our customers.

Key job responsibilities
* Drive technical innovation in security automation, data protection, and privacy-preserving technologies, with focus on developing scalable solutions for cloud environments
* Design and implement frameworks and tools for data and system protection, analysis, and verification
* Lead research and development efforts in AI security, specifically evaluate emerging threats and opportunities, including securing Generative AI systems and designing robust safeguards
* Proactively identify and explore new opportunities for deploying data protection solutions across AWS services and customer use cases

A day in the life
This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience in a fast moving start-up environment and have positive business and customer impact.

- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, Python, Rust, C++, or related languages. Experience building scalable software solutions or tools for machine learning, AI systems, data privacy, security, or automated reasoning- Deep knowledge of cryptographic protocols (e.g., homomorphic encryption, secure multi-party computation, zero-knowledge proofs) or in designing and implementing privacy-preserving machine learning systems (e.g., federated learning, differential privacy). Experience developing and deploying Responsible AI tools or frameworks, including bias detection, adversarial testing, explainability, robustness, or compliance with regulations like the EU AI Act.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 $150,400/year in our lowest geographic market up to $260,000/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.