Sr. Applied Scientist, Aws Automated Reasoning

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

The Sr. Applied Scientist role in AWS Automated Reasoning focuses on developing advanced and rigorous solutions for automated reasoning, privacy, and sovereignty within AWS. This involves solving complex problems, designing and implementing solutions with long-term impact, and providing cross-organizational technical influence. The role requires deep knowledge in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, program analysis, and programming language type systems. While the company is AWS, the core of the role is not AI/ML model building but rather formal methods and reasoning systems.

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
  • 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
  • scientific innovation
  • long-term quantifiable impact
  • cross-organizational technical influence
  • deep knowledge and experience
  • fundamentally new solutions
  • advanced technical issues