External Research Collaborator (Formal Mathematics & AI)

Job Purpose

We are seeking highly skilled External Research Collaborator to contribute to the development, scaling, and maintenance of one of our client´s open-source autoformalization ecosystem.

This interdisciplinary role sits at the intersection of formal mathematics, interactive theorem proving (specifically Lean 4 and Mathlib), and generative AI engineering. Collaborators will focus on building, evaluating, and refining multi-agent pipelines that translate informal mathematical natural language into verified, compilable Lean code. Additionally, collaborators will play a critical role in expanding the mathematical coverage of our client´s dataset, ensuring mathematical faithfulness, proof integrity, and robust integration with various systems.

Key Responsibilities

Autoformalization Pipeline & AI Tooling Engineering

• Develop, scale, and maintain multi-agent AI pipelines designed to translate complex mathematical texts into verified Lean 4 code.
• Evaluate pipeline performance, diagnose verification and compilation failures, and implement systematic engineering solutions to improve autoformalization reliability.
• Research and implement automatic tactic generation and domain-specific proof search strategies to assist LLMs in formal verification.

Dataset Curation & Verification

• Expand and curate our client´s dataset by formalizing missing mathematical results, theorems, and proofs.
• Conduct rigorous peer-reviews of AI-generated Lean statements and proofs to guarantee mathematical faithfulness, proof integrity, and logical validity.
• Ensure optimal code quality and promote the idiomatic, modular reuse of the existing Mathlib library.

3. Community Engagement & Research Collaboration

• Actively collaborate with the global mathematics, Lean, and Mathlib open-source communities to align formalization efforts and upstream reusable code.
• Support domain-specific formalization projects (e.g., algebra, analysis, topology) depending on specialized mathematical background.
• Develop robust evaluation methodologies to benchmark machine-learning-driven formal reasoning tools.

Skills & Experience

Minimum Qualifications:

• Educational Background: 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.
• Mathematical Maturity: Exceptional mathematical foundation, with a proven ability to understand, translate, and verify graduate-level mathematical proofs.
• Lean 4 Experience: Hands-on, practical experience writing formal proofs in Lean 4 and familiarity with the design and structure of Mathlib.
• AI Tooling & Programming: Strong software engineering fundamentals in Python and experience working with LLMs, prompt engineering, and multi-agent developer tools.
• Autonomy: Demonstrated ability to manage open-ended research and engineering projects independently in a remote or collaborative setting.

Preferred Qualifications:

• Active contributor to Mathlib or other formal proof repositories (e.g., Coq, Isabelle/HOL).
• Background in Machine Learning for Code, Automatic Theorem Proving (ATP), or reinforcement learning for symbolic reasoning.
• Familiarity with compiler design, AST manipulation, or parser development in the context of Lean.
• A strong track record of open-source software contributions or research publications in formal methods, AI, or mathematics.

Our purpose is to unlock global understanding. This means our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career. 

In return, we expect all our people to live by the values that unite us: to partner, putting clients fist and winning together, to pioneer, innovating fearlessly and leading with vision and courage, to progress, aiming high and growing through actions and to deliver, owning the outcome and building trust with our colleagues and clients.

RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics. 

RWS Values 

Get the 3Ps right – Partner, Pioneer, Progress – and we´ll Deliver together as RWS.

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