Applied Scientist, Aws Automated Reasoning

Amazon Amazon · Big Tech · Austin, TX · Applied Science

This role focuses on automated reasoning, which is a subfield of AI, but the core responsibilities involve traditional computer science research in areas like SAT, SMT, theorem proving, and program analysis, rather than direct application or development of modern ML/LLM models. The role is classified as Research, with a primary stage of L0 (data/foundational research) and an AI score of 0 because it does not directly involve shipping ML models or agents.

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

  • Ph.D. in computer science, computer engineering, or related field
  • 4+ years of applied research experience
  • Experience in SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, program analysis.

Nice to have

  • O'Caml
  • Dafny
  • Haskell
  • Kotlin
  • Lean
  • Rust
  • Scala

What the JD emphasized

  • Ph.D. in computer science, computer engineering, or related field
  • 4+ 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.