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Applied Scientist, Agentic Automated Reasoning

London, England, United Kingdom💼 Full-time🗓 2026-05-28 → 2026-07-31

Required skills

PhD, or a Master's degree and experience in CS, CE, ML or related field research, Experience in patents or publications at top-tier peer-reviewed conferences or journals, Experience programming in Java, C++, Python or related language, Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred skills

Experience with model checking tools and techniques, SAT/SMT solvers, Knowledge of one or more methods of defining semantics: operational, denotational, axiomatic, etc., Experience applying machine learning and generative AI tools.

Technologies

Java, C++, Python, model checking tools, SAT/SMT solvers, generative AI tools, interactive theorem provers, property-based testing, automated test generation

Responsibilities

Work with customer teams to understand the nature of their software and the properties they need to establish of it, Identify tools and methods capable of addressing the verification needs of customers, including any novel analysis capabilities required, Use techniques spanning property-based testing to model checkers, and interactive theorem provers to establish program properties, Explore generative AI techniques to help customers formalize their requirements, find revealing tests, generate required boiler plate for testing and model checking, and find and repair program proofs.

Seniority

Not specified

Domain

Software verification, formal methods, automated reasoning, AI based agents, provable security, cloud computing, cryptography, Infrastructure as Code

Rewrite
## Responsibilities - Work with customer teams to understand the nature of their software and the properties they need to establish of it. - Identify tools and methods capable of addressing the verification needs of customers, including any novel analysis capabilities required. - Use techniques spanning property-based testing to model checkers, and interactive theorem provers to establish program properties. - Explore generative AI techniques to help customers formalize their requirements, find revealing tests, generate required boiler plate for testing and model checking, and find and repair program proofs. ## Requirements - PhD, or a Master's degree and experience in CS, CE, ML or related field research - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ## Nice to Have - Experience with model checking tools and techniques, SAT/SMT solvers - Knowledge of one or more methods of defining semantics: operational, denotational, axiomatic, etc. - Experience applying machine learning and generative AI tools. ## Benefits Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. 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.
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