External Research Collaborator, Formal Mathematics – AI

Job not on LinkedIn

🔥 13 minutes ago

🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RWS Group

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

RWS Group is a leading provider of AI-powered language services and technology, specializing in translation and localization for a variety of industries. With a focus on enhancing global communication, RWS offers solutions that improve translation quality, manage multilingual content, and streamline the localization process. Their services cater to sectors such as aerospace, finance, legal, life sciences, and technology, leveraging advanced AI to ensure clients can effectively connect across languages and cultures.

📋 Description

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

🎯 Requirements

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

🏖️ Benefits

• Equal employment opportunity and non-discrimination policy • Inclusive work environment focused on diversity and career growth • Opportunity to collaborate with global mathematics, Lean, and Mathlib open-source communities • Remote or collaborative working setting • Professional and research collaboration opportunities