About the job
About Axiomatic AI
Axiomatic AI develops AI systems that combine deep learning, formal logic, and physics-based modeling. The goal: create verifiable, interpretable AI that supports human researchers in scientific and engineering fields. The company’s 30×30 mission targets a 30-fold increase in the speed, accessibility, and affordability of semiconductor and photonic hardware development by 2030.
With teams in Boston, Toronto, and Castelldefels (Barcelona), Axiomatic AI is working to transform hardware design and simulation, moving ideas from research to commercial products.
Research Internship Overview
This internship centers on formal methods, artificial intelligence, and scientific reasoning. It’s especially suited for PhD candidates interested in advancing AI’s role in science and engineering, and in building tools to validate scientific results. The work focuses on automated verification of scientific reasoning, contributing to the design of AI agents that handle complex mathematical formalization, knowledge retrieval, and both formal and informal verification methods.
What You Will Do
- Develop tools for formal reasoning, such as improved library search, theorem retrieval, and formalization assistants.
- Explore Lean metaprogramming or similar formal methods tools for research applications.
- Design verification pipelines for complex equation derivations, helping connect AI systems with physics.
- Work closely with researchers to define a focused project that advances Axiomatic AI’s capabilities and contributes to scientific understanding.
- Carry out research with the potential for publication at venues like ICLR, ICML, or NeurIPS, or contribute to major open-source projects.
Locations
- Boston, US
- Toronto, Canada
- Castelldefels (Barcelona), Spain
