External Research Collaborator – Formal Mathematics, AI

• Develop, scale, and maintain multi-agent AI pipelines translating complex mathematical texts into verified Lean 4 code
• Evaluate pipeline performance, diagnose verification and compilation failures, and implement engineering solutions to improve autoformalization reliability
• Research and implement automatic tactic generation and domain-specific proof-search strategies for LLM-assisted formal verification
• Expand and curate the client’s dataset by formalizing missing mathematical results, theorems, and proofs
• Conduct rigorous peer reviews of AI-generated Lean statements and proofs
• Ensure mathematical faithfulness, proof integrity, logical validity, code quality, and idiomatic modular reuse of Mathlib
• Collaborate with global mathematics, Lean, and Mathlib open-source communities
• Support domain-specific formalization projects such as algebra, analysis, and topology
• Develop evaluation methodologies to benchmark machine-learning-driven formal reasoning tools

• Ph.D. or Master’s degree in Mathematics, Computer Science, or a closely related quantitative field with a strong focus on formal methods, mathematical logic, or theoretical computer science
• Exceptional mathematical foundation and ability to understand, translate, and verify graduate-level mathematical proofs
• Hands-on practical experience writing formal proofs in Lean 4
• Familiarity with the design and structure of Mathlib
• Strong software engineering fundamentals in Python
• Experience working with LLMs, prompt engineering, and multi-agent developer tools
• Ability to manage open-ended research and engineering projects independently in a remote or collaborative setting
• Active contribution to Mathlib or other formal proof repositories is preferred
• Background in Machine Learning for Code, Automatic Theorem Proving, or reinforcement learning for symbolic reasoning is preferred
• Familiarity with compiler design, AST manipulation, or parser development in Lean is preferred
• Strong track record of open-source software contributions or research publications in formal methods, AI, or mathematics is preferred

• Equal opportunity employer
• Inclusive work environment free of discrimination and harassment
• Opportunity to grow as an individual and excel in your career
• Collaboration with smart people passionate about ideas, data, and content
• Global, multicultural work environment
• Remote work setting