AI & Machine Learning Engineer

12 ago - Reggio Emilia
Re:Lab

ppRE:LAB is a design and innovation company specialized in shaping the interaction between people and complex technologies. /p pSince 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. /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-18808-Ljbffr

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