Lean Theorem Proving Engineer, Verified Code Generation, DeepMind

Lean Theorem Proving Engineer, Verified Code Generation, DeepMind Share Lean Theorem Proving Engineer, Verified Code Generation, DeepMind

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corporate_fareDeepMindplaceLondon, UK; Mountain View, CA, USA

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Share Lean Theorem Proving Engineer, Verified Code Generation, DeepMind

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info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Mountain View, CA, USA.

Minimum qualifications:

• PhD or equivalent experience in computer science or mathematics.
• 3 years of experience with the Lean proof assistant.
• 3 years of experience with using AI agents.

Preferred qualifications:

• Experience with AI agents for code or mathematical reasoning tasks.
• Track record of publications at top research venues.

About the job Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities

• Formalize correctness and security specifications of complex real-world systems in Lean with AI assistance.
• Encode the semantics of programming languages (e.g., C/C++/Rust) in Lean with AI assistance.
• Design and run experiments evaluating AI-driven autoformalization and proof search applied to verification of real-world codebases.
• Build infrastructure for applying formal verification at scale, translating code, orchestrating proof search, and integrating with Google-internal tools and models.

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