Invisible Technologies is seeking a Pure Mathematics Specialist to contribute to the development of advanced artificial intelligence models. This role focuses on enhancing the reasoning capabilities of large-scale language models by providing high-quality, proof-based mathematical training data.
Key responsibilities
- Construct and evaluate complex mathematical proofs to ensure rigor and logical correctness.
- Translate advanced mathematical concepts into Lean 4 syntax to support AI training processes.
- Identify and correct subtle conceptual or logical failures within mathematical reasoning tasks.
- Collaborate with the internal team to refine evaluation frameworks, prompts, and reasoning benchmarks.
- Articulate complex proof strategies and metacognitive reasoning clearly and effectively.
Requirements
- Deep foundational knowledge in pure mathematics, including measure theory, functional analysis, and abstract algebra.
- Proven fluency in Lean 4, the proof assistant and programming language.
- Current or recent academic experience, such as an in-progress PhD, completed PhD, or PostDoc position.
- Familiarity with advanced topics like the Yoneda embedding, Riesz representation theorem, and stochastic approximation.
- Strong ability to communicate complex mathematical logic in a clear and structured manner.
What we offer
- The opportunity to shape the future of AI reasoning through expert-level mathematical contributions.
- A fully remote working environment allowing for flexible, independent project engagement.
- Collaboration with a team dedicated to pushing the boundaries of machine learning and formal verification.