RE:LAB is a design and innovation company specialized in shaping the interaction between people and complex technologies.
Since 2004, we have been working on products and systems used daily across the automotive, industrial, and consumer sectors. Our goal is to make advanced technology understandable, safe, and natural to use.
We don’t just design interfaces. We design experiences that bring together design, engineering, human factors, and artificial intelligence. Our multidisciplinary team tackles real-world challenges in highly complex contexts, where quality and reliability are essential.
We partner with global companies when user experience is not a detail, but a critical factor for a product’s success—when adoption, safety, and user trust truly make the difference.
At RE:LAB, we believe technology should feel human. This belief guides the way we work, the design decisions we make, and the relationships we build every day.
Designing human experiences for complex technologies.
To support the growth of our R&D and engineering activities, we are looking for an AI Research & Development Intern (extracurricular internship) to contribute to the development of innovative solutions at the intersection of Artificial Intelligence and Human–Machine Interaction.
The internship offers the opportunity to work on research and development projects focused on the application of emerging AI technologies to interactive systems and digital experiences. The selected candidate will collaborate with multidisciplinary teams including engineers, designers, UX specialists, and researchers, contributing to the exploration and implementation of next-generation intelligent interfaces.
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Support the development and experimentation of AI-powered solutions for Human–Machine Interaction (HMI).
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Contribute to projects involving Large Language Models (LLMs) and conversational systems.
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Support the design and implementation of Retrieval-Augmented Generation (RAG) architectures and knowledge-based AI systems.
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Participate in experimentation activities involving small language models, model adaptation, and optimization.
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Contribute to research activities related to computer vision, multimodal interaction, and intelligent user interfaces.
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Collaborate with multidisciplinary teams to prototype and validate innovative AI concepts.
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Support software development, testing, documentation, and technical reporting activities.
- Master’s degree in Computer Engineering, Computer Science, Artificial Intelligence, or related fields.
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Strong interest in Artificial Intelligence, Machine Learning, and Human–Machine Interaction.
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Good programming skills, particularly in Python.
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Familiarity with software development principles and experimental prototyping activities.
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Curiosity toward emerging technologies and research-driven projects.
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Analytical mindset and strong problem-solving attitude.
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Ability to work effectively within multidisciplinary teams.
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Good command of the English language, both written and spoken.
Internship Details
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Duration: 6 months
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Schedule: Full-time
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Start date: To be agreed based on candidate availability
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Work location: On-site, Reggio Emilia HQ
Internship allowance: the internship includes a monthly reimbursement, in accordance with the applicable regional regulations.
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Our Promise
We build technology for people—and that same principle guides how we work together. At RE:LAB, you’ll find more than a role: a place where ideas are valued, growth is supported, and individual perspectives contribute to meaningful innovation.
Our Values in Action
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Integrity first: we act with transparency and responsibility in every decision, project, and interaction.
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Diversity as a strength: different backgrounds and viewpoints help us solve complex problems better.
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Inclusion by design: we encourage open dialogue and create space for everyone to contribute.
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Growth mindset: we support continuous learning and professional development through real projects and shared expertise.
Ready to shape the future of human–machine interaction?
Join a team that values both advanced technology and human connection.
