Applied Scientist, Aws Automated Reasoning

Amazon Amazon · Big Tech · Boston, MA · Applied Science

This role focuses on automated reasoning, which is a subfield of AI, but the core responsibilities and required skills (SAT, SMT, theorem proving, program analysis) are more aligned with traditional computer science research and formal methods rather than the development or deployment of machine learning models or agents. The role is classified as Research within the Enterprise AI domain, with an AI maturity signal of Exploring, and a primary stage of L0 (Data) due to the foundational nature of the research in logic and formal systems, which can be seen as a form of data preparation or foundational work for more complex AI systems. However, since the role does not directly ship ML models or agents, it is marked as not AI-related.

What you'd actually do

  1. Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation.
  2. Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact.
  3. Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience.
  4. Develop strategic plans to identify fundamentally new solutions for business problems.
  5. Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues.

Skills

Required

  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis.

Nice to have

  • Experience programming in O'Caml, Dafny, Haskell, Kotlin, Lean, Rust, Scala or related language

What the JD emphasized

  • deep knowledge and understanding of your domain
  • scientific innovation
  • strategic problem solving
  • long-term quantifiable impact
  • cross-organizational technical influence
  • deep knowledge and experience
  • fundamentally new solutions
  • advanced technical issues
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience in any of the following areas: SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis.