Applied Scientist, Automated Reasoning

What you'll do

• Design and build algorithms, verification methods, and production-grade automated reasoning systems.
• Apply generative AI and machine learning to automated reasoning, including safety and correctness methods for AI-generated code and agentic systems.
• Conduct and publish original research; work with customer and partner teams to translate verification needs into production systems.

What they ask for

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

Nice to have

• Professional software development experience or applying formal methods to real-world software, security, or systems problems.
• Experience with Lean, Dafny, Isabelle, or Rocq, or programming in OCaml, Haskell, Rust, Scala, Kotlin, or a related language.

Pay

192,200.00 - 260,000.00 USD annually (base salary; San Francisco and Santa Clara); 167,100.00 - 226,100.00 USD annually (base salary; Denver, Washington, Boston, Portland, Austin, Arlington, Seattle); 183,800.00 - 248,700.00 USD annually (base salary; New York)

Tools

SAT/SMT, Lean, Dafny, Isabelle, Rocq, OCaml, Haskell, Rust

AI focus

Applies generative AI and machine learning to automated reasoning, including neural approaches to symbolic reasoning, verification of AI-generated code, and safety and alignment for autonomous agents and large language model outputs.