Formal Verification Scientist

Alignerr Corp.

Brasil

Remote

BRL 120,000 - 190,000

Full time

14 days+

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Job summary

Alignerr is seeking a proficient mathematician with experience in formal verification to translate informal proofs into Lean 4 formalizations. You will focus on clarity, correctness, and reproducibility while analyzing domain-specific proofs and constructing robust formalizations.

You will collaborate with AI researchers to advance verification pipelines, decompose complex arguments into lemmas, and explore where automated provers fail, developing deeper patterns in the mathematics involved.

Qualifications

  • Master's degree or higher in Mathematics, Logic, TCS, or a closely related field.
  • Strong proof-writing skills across algebra, analysis, topology, logic, or discrete math.
  • Experience with Lean (Lean 3/4) or other proof assistants (Coq, Isabelle/HOL, Agda).

Responsibilities

  • Translate informal mathematical proofs into Lean 4 formalizations with emphasis on clarity and reproducibility.
  • Analyze generic and domain-specific proofs to identify gaps and formalizable sub-structures.
  • Construct formalizations that test limits of proof assistants where automation struggles.
  • Collaborate with AI researchers to refine strategies for improving formal verification pipelines.
  • Decompose complex arguments into lemmas and proofs aligned with mathematical best practices.
  • Investigate where automated provers break down and articulate the reasons behind it.
  • Create Lean proofs that reveal deeper patterns or generalizations in the original mathematics.

Skills

Rigorous proof writing
Type theory
Proof automation tools

Education

Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field

Tools

Lean
Coq
Isabelle/HOL
Agda

Job description

What You'll Do
  • Translate informal mathematical proofs into clean, structured Lean 4 formalizations with an emphasis on clarity, correctness, and reproducibility
  • Analyze both generic and domain-specific proofs to identify gaps, hidden assumptions, and formalizable sub-structures
  • Construct formalizations that test the limits of existing proof assistants — especially in areas where automated tools struggle or fail
  • Collaborate with AI researchers to design, refine, and evaluate strategies for improving formal verification pipelines
  • Decompose complex arguments into well-structured lemmas and proof scripts aligned with mathematical best practices
  • Investigate where automated provers break down and articulate the underlying reasons — missing libraries, complexity barriers, insufficient scaffolding
  • Create Lean proofs that reveal deeper patterns or generalizations implicit in the original mathematics
Who You Are
  • Holds a Master's degree or higher in Mathematics, Logic, Theoretical Computer Science, or a closely related field
  • Has a strong foundation in rigorous proof writing across areas such as algebra, analysis, topology, logic, or discrete mathematics
  • Has hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or a comparable proof assistant — Lean strongly preferred
  • Deeply enthusiastic about formal verification, proof assistants, and the future of mechanized mathematics
  • Able to translate dense, informal arguments into precise, machine-verifiable form with structural clarity
Nice to Have
  • Familiarity with type theory, the Curry-Howard correspondence, and proof automation tools
  • Experience contributing to large-scale formalization projects such as Mathlib
  • Exposure to theorem provers where automated reasoning frequently fails or requires significant manual scaffolding
  • Prior experience with data annotation, data quality evaluation, or AI training workflows
  • Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies
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