Researcher – Lean 4 & Formal Proof Systems

Alignerr is seeking a Researcher specialized in Lean 4 and Formal Proof Systems to work remotely on AI training projects. This contract role is ideal for mathematicians and verification experts who want to translate complex mathematical arguments into machine‑verifiable proofs.

Key Responsibilities

• Develop and formalize advanced mathematical proofs using the Lean 4 proof assistant.
• Collaborate with AI researchers to integrate formal proofs into machine learning pipelines.
• Design and implement verification strategies that improve AI reasoning capabilities.
• Document proof development processes and contribute to open‑source Lean 4 libraries.
• Participate in virtual research meetings and present findings to interdisciplinary teams.

Required Qualifications

• Strong background in pure mathematics, logic, or formal verification (PhD preferred).
• Hands‑on experience with Lean 4 or other proof assistants (Coq, Isabelle, Agda).
• Familiarity with AI/ML concepts and how formal methods can enhance model training.
• Excellent problem‑solving skills and ability to work independently in a remote setting.
• Fluent written and spoken English; French is a plus.

Preferred Skills

• Experience publishing research in formal methods or computer‑assisted theorem proving.
• Knowledge of functional programming languages (e.g., Haskell, OCaml).
• Previous collaboration with AI research labs or industry partners.

What We Offer

• Fully remote, flexible schedule with contract‑based engagement.
• Opportunity to influence cutting‑edge AI research through formal proof technology.
• Access to a collaborative community of mathematicians, computer scientists, and AI engineers.

Frequently Asked Questions

Is this position fully remote?

Yes, the role is 100% remote with flexible working hours.

What experience with Lean 4 is required?

Hands‑on experience developing proofs in Lean 4 or similar proof assistants is required; advanced proficiency is preferred.

Do I need a PhD to apply?

A PhD in mathematics, logic, or a related field is preferred but not mandatory if you have equivalent research experience.