Machine Learning Software Engineer
Pubblicato il 15-08-2026 - Re:Lab in Italia
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. 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. Position To strengthen our R&D; deparment and innovation activities, we are looking for an AI & Machine Learning Engineer to contribute to the research and development of intelligent software solutions.
The 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. We 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. Main Activities Design and develop AI and Machine Learning solutions for research and industrial applications. Contribute to the development of applications based on Large Language Models and Generative AI. Design and implement Retrieval-Augmented Generation (RAG) solutions and knowledge-based AI systems. Explore and develop multimodal applications combining different types of data and inputs. Contribute to the deployment and optimization of AI models for edge and resource-constrained environments. Develop prototypes and proof-of-concep