Applied Scientist, Automated Reasoning & AI Safety

Amazon Web Services (AWS); Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon Development Center U.S., Inc. in Seattle is seeking applied scientists to design and implement algorithms for automated reasoning, verification, and neurosymbolic methods.

You will tackle large, complex problems and lead development of scalable verification systems at Amazon scale. The role involves exploring AI and ML techniques to enhance reasoning, mentoring colleagues, and collaborating with cross-functional teams to translate verification capabilities into production systems.

Qualifications

• PhD or equivalent research experience
• Experience in mathematical logic, formal verification, satisfiability solving (eg SAT/SMT), mechanical theorem proving, model checking, or program analysis

Responsibilities

• Design and implement algorithms and formal methods for automated reasoning, including constraint solving, model checking, static analysis, theorem proving, and program synthesis to verify the correctness, security, and reliability of computing systems.
• Solve large or significantly complex problems that require deep knowledge and scientific innovation in your domain; own strategic problem solving and take the lead on design, implementation, and delivery of solutions with long-term quantifiable impact.
• Develop new decision procedures, heuristics, and search strategies that improve the scalability and accuracy of verification tools; build and deploy production-grade automated reasoning systems at Amazon scale.
• Explore and apply generative AI and machine learning techniques to enhance automated reasoning capabilities, including learning-based heuristics for search and optimization, neural approaches to symbolic reasoning, and methods for verifying the correctness of AI-generated code.
• Develop automated reasoning techniques for generative AI and agentic coding systems, including methods for ensuring the safety and alignment of autonomous software agents and applying formal guarantees to large language model outputs.
• Conduct original research snd publish findings in peer-reviewed venues.
• Work with customer teams to understand the nature of their software and the properties they need to establish; identify tools and methods capable of addressing verification needs, including novel analysis capabilities.
• Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing deep knowledge and experience; collaborate with partner teams to translate verification capabilities into production systems.
• Mentor scientists and engineers on formal methods, neurosymbolic techniques, and best practices for building reliable automated reasoning systems; assist in career development of others.

Job description

Amazon Development Center U.S., Inc. in Seattle is seeking applied scientists to design and implement algorithms for automated reasoning, verification, and neurosymbolic methods.

You will tackle large, complex problems and lead development of scalable verification systems at Amazon scale. The role involves exploring AI and ML techniques to enhance reasoning, mentoring colleagues, and collaborating with cross-functional teams to translate verification capabilities into production systems.