Applied Scientist: Automated Reasoning & Verification

Amazon Science; New York (NY); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Science in New York, NY seeks Applied Scientists for AWS Automated Reasoning to advance formal methods, automated reasoning, and neurosymbolic approaches across services used by customers worldwide.

You will design and evaluate algorithms for verification, model checking, and theorem proving, collaborate with cross-functional teams, and publish findings while mentoring others in formal methods and AI safety.

Qualifications

• PhD or equivalent research experience.
• Experience in mathematical logic, formal verification, SAT/SMT, 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.

Skills

Mathematical logic

Formal verification

SAT/SMT

Model checking

Theorem proving

Program analysis

Lean

Dafny

Isabelle

Rocq

OCaml

Haskell

Rust

Scala

Kotlin

Tools

Lean

Dafny

Isabelle

Rocq

Job description

Amazon Science in New York, NY seeks Applied Scientists for AWS Automated Reasoning to advance formal methods, automated reasoning, and neurosymbolic approaches across services used by customers worldwide.

You will design and evaluate algorithms for verification, model checking, and theorem proving, collaborate with cross-functional teams, and publish findings while mentoring others in formal methods and AI safety.