Remote Lean Formalization Specialist (Contract)

Alignerr Corp.; Chicago (IL); A distancia; USD 83.000 - 179.000; Jornada completa

Descripción de la vacante

Alignerr is seeking a Mathematical Formalization Specialist to translate rigorous mathematics into Lean and related proof systems, ensuring machine-verifiable proofs with mathematical rigor. The role emphasizes collaboration with AI research labs, exploring frontiers of formal verification, and advancing proof automation in a fully remote setup.

You will formalize informal arguments, analyze proof gaps, and contribute to scalable formalization projects, leveraging Lean, Coq, and other proof

Formación

• Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field.
• Hands-on experience with formal proof systems and Lean (Lean 3 or Lean 4) is strongly preferred.

Responsabilidades

• Translate informal mathematical proofs into Lean and related proof systems with precision and rigor.
• Analyze domain-specific proofs to identify gaps and formalizable sub-structures.
• Construct formalizations that probe the limits of proof assistants where automation fails.
• Collaborate with researchers to design strategies for improving formal verification pipelines.
• Develop readable, reproducible proof scripts aligned with mathematical best practices.
• Provide expert guidance on proof decomposition and lemma selection.
• Investigate why automated provers break down and document causes.

Conocimientos

Lean proof systems

Formal verification

Proof writing

Research collaboration

Educación

Master's degree or higher in Mathematics/Logic/Theoretical CS

Herramientas

Lean

Coq

Isabelle/HOL

Agda

Descripción del empleo

Alignerr is seeking a Mathematical Formalization Specialist to translate rigorous mathematics into Lean and related proof systems, ensuring machine-verifiable proofs with mathematical rigor. The role emphasizes collaboration with AI research labs, exploring frontiers of formal verification, and advancing proof automation in a fully remote setup.

You will formalize informal arguments, analyze proof gaps, and contribute to scalable formalization projects, leveraging Lean, Coq, and other proof