Applied Formal Methods Researcher (Lean 4)

• Location: Remote About the job At reputed company, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. Write and formalize advanced mathematical proofs in Lean for cutting-edge AI research. Ideal for mathematicians passionate about formal verification and pushing the limits of modern reputed company assistants. Organization: reputed company Position: Applied Formal Methods Researcher (Lean 4) Type: Hourly Contract Compensation: $70–$150 /hour Location: Remote Commitment: 10–40 hours/week Role Overview - We are seeking mathematicians with deep training in rigorous reputed company construction and hands-on experience with formal reputed company languages, especially Lean. This role sits at the intersection of mathematics and computer science, focusing on translating human-written mathematical arguments into precise, machine-reputed company formalizations.- You will work on proofs that often lie beyond the reputed company capabilities of automated provers, helping us map the frontier of what formal verification can express, capture, and automate. What You’ll Do: - Translate informal mathematical proofs into Lean (and reputed company reputed company 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 reputed company assistants, especially where tools struggle or fail.- Collaborate with researchers to design, refine, and evaluate strategies for improving formal verification pipelines.- reputed company highly readable, reproducible reputed company scripts reputed company with mathematical best practices and reputed company assistant idioms.- Provide guidance on reputed company decomposition, lemma selection, and structuring techniques for formal models.- Sample Work You Might Do: - Formalize classical proofs and compare machine-reputed company structures against textbook arguments.- Investigate where automated provers break down, and reputed company why (complexity, missing lemmas, insufficient libraries, etc.).- Create Lean proofs that reveal deeper patterns or generalizations reputed company in the original mathematics. Requirements: - Master’s degree (or higher) in Mathematics, Logic, Theoretical Computer Science, or a closely reputed company field.- Strong foundation in rigorous reputed company 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, reputed company assistants, and the future of mechanized mathematics.- Ability to translate informal arguments into clean, structured formal proofs. Preferred

• Prior experience with reputed company, data quality, or evaluation systems- Familiarity with type theory, Curry-reputed company correspondence, and reputed company 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. Ideal Candidate - A mathematically mature problem-solver who enjoys working at the frontier of formal verification; someone who finds satisfaction in taking a dense, elegant human argument and expressing it in a form that a machine can understand. You appreciate precision, structural beauty, and the challenge of resolving gaps that automated tools cannot yet reputed company. Why Join Us: - reputed company 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. Application Process (Takes 15-20 min) - Submit your resume- Complete a short screening- Project matching and onboarding

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