Axiomatic AI is building a new class of AI systems designed to reason with the rigor of the scientific method. By combining deep learning with formal logic and physics-based modeling, we create verifiable, interpretable AI systems that collaborate with and support human researchers in high-stakes scientific and engineering workflows.
Our mission, 30×30, is to deliver a 30× improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030.
We aim to revolutionize hardware design and simulation in these industries and are building a team of highly motivated professionals to bring these innovations from research into commercial products.
We are looking for a Research Intern to support exploratory work on core topics in agentic AI and learning systems. The internship is designed around two main goals: identifying promising research paths and producing strong research output, potentially including a paper submission.
You will contribute to exploratory but highly relevant research directions within KAMAS (Knowledge, Agents, Memory and Systems), a team focused on building knowledge-driven, verifiable agentic AI systems. Possible investigation paths include:-
- Teacher/student interaction dynamics in learning processes, particularly in long-term settings where the student evolves through sustained interaction with a teacher;
- The interaction between external and parametric memory, focusing on how to connect them and enable effective bidirectional information flow;
- Neurosymbolic approaches to validation and verification (V&V) for agentic reasoning
These directions are not exhaustive. Additional research paths may be defined based on the candidate’s background, interests, and emerging project needs
This role is ideal for a candidate who enjoys moving between conceptual research, experimental work, and hands-on model development.
- Contribute to exploratory research in agentic AI and learning systems, aligned with KAMAS goals and research priorities
- Design, implement, and run experiments to evaluate promising research directions
- Synthesize findings into internal documents and presentations, and potentially publications.
- Currently pursuing a Master’s or PhD in Artificial Intelligence, Computer Science, Machine Learning, or a related field
- Strong proficiency in Python
- Strong foundation in machine learning research and experimental design
- Ability to work independently on exploratory research problems
- Strong analytical, research, and communication skills
- Strong teamwork and collaboration skills
- Comfort working in a dynamic, fast-paced setting
- Strong interest in current state-of-the-art AI research, in particular in knowledge and memory systems.
- Experience or strong interest in reinforcement learning and model fine-tuning, particularly in working with smaller models and efficient training setups
Work model & location expectations
Work model:
On-site. Candidates are expected to be based at our Barcelona office.
Office location:
Carrer d'Esteve Terradas, 1
08860 Castelldefels, Barcelona, Spain
Our office is located in the Mediterranean Technology Park, within a university campus environment—just 20 minutes by train from central Barcelona and a 15-minute walk from the beach.
Work authorization:
Candidates must have (or be able to obtain) work authorization in Spain.
Relocation support:
For candidates relocating from another country, Axiomatic will cover temporary housing and travel to/from Barcelona during the transition period.
Hiring manager & interview process
The interview process consists of four stages:
Type: Paid Summer Internship
Duration: Internships typically run between June and August/September (10–12 weeks), with some flexibility depending on candidate availability and location.
Future opportunities:
Why join us?
At Axiomatic AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 30×30 mission.
This is your opportunity to contribute to the development of new AI methodologies that improve scientific modeling, reasoning, and design. You will work on research questions with both theoretical depth and practical relevance, while collaborating with a global team of engineers, scientists, and AI specialists.
We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, uncertainty-aware modeling, and scientific computation. If you're excited by technically demanding research and want to help shape the future of AI for engineering and hardware, we want to hear from you.
Worried about not meeting every qualification? Studies show that women and people of color are less likely to apply for jobs unless they meet every listed requirement. At Axiomatic AI, we are dedicated to creating a diverse, inclusive, and authentic workplace. If this role excites you but your background doesn’t perfectly match every qualification, we still encourage you to apply. You could be the perfect fit for this position or another opportunity with us.
