Applied Formal Methods Researcher

6 days ago


Vancouver, Canada Alignerr Full time

Applied Formal Methods Researcher (Lean 4) Alignerr partners with leading AI research teams to build cutting‑edge models. Role Overview – We seek mathematicians with rigorous proof training and hands‑on Lean experience to translate informal mathematical arguments into precise, machine‑verifiable formalizations. What You’ll Do Translate informal proofs into Lean with clarity, structure, and correctness. Analyze domain‑specific proofs, identify 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. Preferred 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. Benefits Competitive pay ($70–$150 /hr) and flexible remote work. Collaborate with a team working on cutting‑edge AI projects. Exposure to advanced LLMs and how they’re trained. Freelance perks: autonomy, flexibility, and global collaboration. Potential for contract extension. Commitment – 10–40 hours/week, hourly contract, Remote. Application Process – Submit resume, screening, project matching, onboarding. #J-18808-Ljbffr



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