Lean 4 Mathematical Formalization Expert

Alignerr San Francisco, CA $170 - $200
Contract Mid Level

Posted 1 week ago

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About This Role

Translate informal mathematical proofs into precise, machine-verifiable formalizations using formal proof languages, with a strong emphasis on Lean. This role focuses on advancing AI reliability and formalization by working on proofs beyond current automated prover capabilities.

Responsibilities

  • Translate informal mathematical proofs into Lean (and related proof systems) with an emphasis on clarity, structure, and correctness
  • Analyze generic and domain-specific proofs, identifying gaps, hidden assumptions, and formalizable sub-structures
  • Construct formalizations that test the limits of existing proof assistants, especially where tools struggle or fail
  • Collaborate with researchers to design, refine, and evaluate strategies for improving formal verification pipelines
  • Develop highly readable, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms
  • Provide guidance on proof decomposition, lemma selection, and structuring techniques for formal models

Requirements

  • Master’s degree (or higher) in Mathematics, Logic, Theoretical Computer Science, or a closely related field
  • Strong foundation in rigorous proof writing and mathematical reasoning across areas such as algebra, analysis, topology, logic, or discrete math
  • Hands-on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable systems—with Lean strongly preferred
  • Deep enthusiasm for formal verification, proof assistants, and the future of mechanized mathematics
  • Ability to translate informal arguments into clean, structured formal proofs

Qualifications

  • Master’s degree (or higher) in Mathematics, Logic, Theoretical Computer Science, or a closely related field

Nice to Have

  • Familiarity with type theory, Curry–Howard correspondence, and proof automation tools
  • Experience with large-scale formalization projects (e.g., mathlib)
  • Exposure to theorem provers where automated reasoning frequently fails or requires manual scaffolding
  • Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies

Skills

Lean * Coq * Isabelle/HOL * Agda *

* Required skills

About Alignerr

Alignerr partners with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

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