ppRE:LAB is a design and innovation company specialized in shaping the interaction between people and complex technologies.
/p pSince ****, 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.
/p pWe 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.
/p pWe 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.
/p pAt 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.
/p pDesigning human experiences for complex technologies.
/p pbPosition /b /p pTo strengthen our RD deparment and innovation activities, we are looking for an AI Machine Learning Engineer to contribute to the research and development of intelligent software solutions.
/p pThe role focuses on the design, experimentation, and implementation of AI-based applications, working across areas such as machine learning, generative AI, multimodal systems, and edge computing.
/p pWe are looking for a curious and technically motivated engineer who is interested in exploring emerging AI technologies and translating them into concrete applications and working prototypes.
/p pMain Activities /p ulliDesign and develop AI and Machine Learning solutions for research and industrial applications.




/liliContribute to the development of applications based on Large Language Models and Generative AI.
/liliDesign and implement Retrieval-Augmented Generation (RAG) solutions and knowledge-based AI systems.
/liliExplore and develop multimodal applications combining different types of data and inputs.
/liliContribute to the deployment and optimization of AI models for edge and resource-constrained environments.
/liliDevelop prototypes and proof-of-concepts to evaluate emerging AI technologies.
/liliSupport testing, evaluation, and performance analysis of AI models and applications.
/liliCollaborate with multidisciplinary teams across software engineering, design, HMI, and research activities.
/liliContribute to technical documentation and project deliverables.
/li /ul pbRequirements /b /p ulliMaster's degree in Computer Engineering, Computer Science, Artificial Intelligence, or related technical fields.
/liliGood knowledge of Artificial Intelligence and Machine Learning principles.
/liliStrong programming skills, particularly in Python.
/liliFamiliarity with modern AI frameworks and software development methodologies.
/liliUnderstanding of data processing, model evaluation, and experimentation workflows.
/liliStrong analytical and problem-solving skills.
/liliCuriosity toward emerging technologies and research-driven development.
/liliAbility to work effectively within multidisciplinary teams.




/liliGood command of the English language, both written and spoken.
/li /ul pNice to Have /p ulliExperience with Large Language Models (LLMs) and Generative AI.
/liliKnowledge of RAG architectures, embeddings, vector databases, and information retrieval.
/liliFamiliarity with multimodal AI, computer vision, speech, or natural language processing.
/liliExperience with frameworks such as PyTorch, TensorFlow, Hugging Face, or similar.
/liliFamiliarity with edge AI, model optimization, or deployment on embedded and resource-constrained platforms.
/liliExperience with cloud platforms, APIs, or containerized environments.
/liliAcademic, research, or professional experience involving innovative AI applications.
/li /ul pbOther information /b /p pSchedule: Full- time, 40 hours per week.
/p pWe 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.
/p pOur Values in Action /p ulliIntegrity first: we act with transparency and responsibility in every decision, project, and interaction.
/liliDiversity as a strength: different backgrounds and viewpoints help us solve complex problems better.
/liliInclusion by design: we encourage open dialogue and create space for everyone to contribute.
/liliGrowth mindset: we support continuous learning and professional development through real projects and shared expertise.
/li /ul pReady to shape the future of human-machine interaction?
/p pJoin a team that values both advanced technology and human connection.
/p /p #J-*****-Ljbffr

📌 Ai & Machine Learning Engineer (Emilia-Romagna)
🏢 Re:Lab
📍 Emilia-Romagna