About us:
Axiomatic_AI is dedicated to accelerating R&D by developing the next generation of Automated Interpretable Reasoning, a verifiably truthful AI model built for reasoning in science and engineering, empowering engineers specifically in hardware design and Electronic Design Automation (EDA), with a mission to revolutionize the fields of hardware design and simulation in the photonics and semiconductor industry. We seek highly motivated professionals to help us bring these innovations to life, driving the evolution from development to commercial product.
Position overview:
As an AI Research Scientist with focus on formal methods for science, you will join a focused team, playing a key role in building new formal verification tools for science and engineering. Your responsibilities will include developing AI tools that will enable the systematic adoption of formal methods in quantitative scientific fields such as physics and engineering. You will also manage data curation, conduct benchmarking to evaluate performance, analyze reasoning flaws and propose solutions. Close collaboration with our dedicated cross-functional team - consisting of Mathematicians, AI Engineers, Software Engineers, Lean4 developers, Physicists and AI scientists - will be essential to the success of the project.
Your mission:
- Project contribution and technical execution:
Play an active role in designing and developing autoformalization and validation strategies specifically tailored for scientific applications.
- Solution design & implementation:
Engage in hands-on development to drive shorter-term impactful solutions in collaboration with our Business Development team. Propose, discuss, and implement technical solutions that address complex challenges, ensuring they are are well-structured, efficient, and aligned with industry best practices.
Key requirements:
- PhD in Computer Science, Artificial Intelligence, Physics, Machine Learning for scientific applications or related fields.
- Experience in applications of machine learning to relevant projects
- Proficient in Python, with the ability to write clean and efficient code
- Experienced with agentic AI and major deep learning framework
- Solid understanding of statistics and probability
About You:
- You excel as a team player, thriving in multidisciplinary and multicultural environments.
- You are highly motivated, hard-working, and committed to personal and professional growth through constant learning, new challenges and advancements.
- You quickly grasp new concepts and technologies, adapting efficiently to evolving requirements.
- You have a real passion for science and maths, and have a deep curiosity for understanding concepts from first principles.
- You like to try new technologies and quickly build exploratory prototypes.
- You thrive in a dynamic, fast-paced environment, embracing change with a proactive and solution-oriented approach
Nice to have:
- Background in Physics, Engineering or other related computational science.
- Publications relevant to the company domain at top-tier conferences.
- Internship or work experience in one top AI company.
- Strong experience in at least one of the following: reinforcement learning, representation learning, program synthesis, NLP, graph machine learning, knowledge graphs, applied machine learning and data mining, optimization, machine learning for theorem proving, agentic LLMs and RAG, machine learning for science
- Proven contribution to open source projects.
What we offer:
- Competitive compensation
- Stock Options Plan:
Empowering you to share in our success and growth.
- Cutting-Edge Tools:
Access to state-of-the-art tools and collaborative opportunities with leading experts in artificial intelligence, physics, hardware and electronic design automation.
